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206 | Fundamentals of Project Planning and Management | University of Virginia | Project Management, Strategy and Operations, Leadership and Management, Planning | 4.7 | https://www.coursera.org/learn/uva-darden-project-management | 334,604 | This course, revised in 2022, will introduce you to the theory of music, providing you with the skills needed to read and write Western music notation, as well as to understand, analyse, and listen informedly.
It will cover material such as pitches and scales, intervals, clefs, rhythm, form, metre and time signatures, phrases and cadences, and basic harmony.
This course covers the fundamentals of Western music theory, from the absolute basics to some more advanced concepts. As such, it delivers material for beginners and offers much to experienced musicians alike.
| 9.5K | Beginner | Course | 1 - 4 Weeks |
207 | Medical Billing and Coding Fundamentals | MedCerts | Communication, Critical Thinking, Leadership and Management | 4.8 | https://www.coursera.org/specializations/medical-billing-coding-fundamentals | 5,094 | Through this Specialization, students learn the essential skills of an Insurance Billing Specialist. Knowledge of human anatomy and medicine is necessary for any healthcare role, so students are also taught this terminology and structure. Additionally, this Specialization includes skills to stand out to employers by teaching professionalism, communication, and soft skills specific to an allied health environment.
Applied Learning Project
MedCerts’ highly immersive courses use various unique eLearning components designed to keep students engaged, stimulated, and entertained throughout training. We are planning to add increased project opportunities and will have more details coming soon.
| 254 | Beginner | Specialization | 3 - 6 Months |
208 | Data Analysis with R Programming | Google | R Programming, Data Analysis, Computer Programming, Data Visualization, SQL | 4.8 | https://www.coursera.org/learn/data-analysis-r | 15,691 | Deriving insights from data and communicating findings has become an increasingly important part of virtually every profession. This Specialization prepares you for this data-driven transformation by teaching you the core principles of data analysis and visualization and by giving you the tools and hands-on practice to communicate the results of your data discoveries effectively.
You will be introduced to the modern data ecosystem. You will learn the skills required to successfully start data analysis tasks by becoming familiar with spreadsheets like Excel. You will examine different data sets, load them into the spreadsheet, and employ techniques like summarization, sorting, filtering, & creating pivot tables.
Creating stunning visualizations is a critical part of communicating your data analysis results. You will use Excel spreadsheets to create the many different types of data visualizations such as line plots, bar charts, pie charts. You will also create advanced visualizations such as treemaps, scatter charts & map charts. You will then build interactive dashboards.
This Specialization is designed for learners interested in starting a career in the field of Data or Business Analytics, as well as those in other professions, who need basic data analysis and visualization skills to supplement their primary job tasks.
This program is ACE® recommended—when you complete, you can earn up to 9 college credits.
Applied Learning Project
Build your data analytics portfolio as you gain practical experience from producing artifacts in the interactive labs and projects throughout this program. Each course has a culminating project to apply your newfound skills:
In the first course, create visualizations to detect fraud by analyzing credit card data.
In the second course, import, clean, and analyze fleet vehicle inventory with Excel pivot tables.
In the third course, use car sales key performance indicator (KPI) data to create an interactive dashboard with stunning visualizations using Excel and IBM Cognos Analytics.
Only a modern web browser is required to complete these practical exercises and projects — no need to download or install anything on your device.
| 9K | Beginner | Course | 1 - 3 Months |
209 | Product Ideation, Design, and Management | University of Maryland, College Park | Leadership and Management, Design and Product, Strategy and Operations, Product Management, Entrepreneurship, Product Development, Strategy, Product Design, Marketing, Product Strategy, Research and Design, Market Research, Market Analysis, Product Marketing, Finance, Sales, Investment Management, Planning, Project Management, Financial Analysis, Financial Management, Business Psychology, Budget Management, Entrepreneurial Finance, Software Engineering Tools, Innovation | 4.5 | https://www.coursera.org/specializations/product-ideation-design-and-management | 13,644 | This Specialization is designed for aspiring and active product leaders seeking to pursue careers in product management, product design, and related roles. Through five practical courses, you will learn the fundamentals for designing and managing products. Upon completion, you will have created your own personal toolbox of knowledge and techniques for approaching and solving real-world problems that product leaders face.
Applied Learning Project
Learners will create a comprehensive set of designs and strategies for a new product or service, or an improvement on an existing product or service. This includes an opportunity assessment, a product-market fit analysis, a prototype, and a funding plan for their innovation.
| 492 | Beginner | Specialization | 3 - 6 Months |
210 | Global Procurement and Sourcing | Rutgers the State University of New Jersey | Procurement, Customer Relationship Management, Leadership and Management, Negotiation, Supplier Relationship Management | 4.7 | https://www.coursera.org/specializations/procurement-sourcing | 76,360 | The course offers a well-researched and broad-ranging primer to the United Nations system. Consisting of an introduction to the complex UN family and its history, and a series of ‘snapshots’ of key UN functions, which are used to explore important UN themes and help learners develop important analysis, communication, and policy-based skills.
The course is aimed broadly at people interested in learning more about the United Nations system, assuming a level of interest but no necessary previous knowledge, whilst also offering offering sufficient up to date research and new critical perspectives that it will also be of interest to people with more expertise or academic familiarity with the topic as well.
The main aim of the course is to provide this wide-ranging introduction in a self-contained, but in-depth form, alongside the important practical skills necessary to understand and discuss UN affairs, and potentially lay the groundwork for greater engagement in future – either in civil society or in further study.
| 1.9K | Beginner | Specialization | 3 - 6 Months |
211 | Sound the Alarm: Detection and Response | Google | Linux, Network Security, Computer Security Incident Management, Leadership and Management | 4.8 | https://www.coursera.org/learn/detection-and-response | 57,310 | This is the sixth course in the Google Cybersecurity Certificate. These courses will equip you with the skills you need to apply for an entry-level cybersecurity job. You’ll build on your understanding of the topics that were introduced in the fifth Google Cybersecurity Certificate course.
In this course, you will focus on incident detection and response. You'll define a security incident and explain the incident response lifecycle, including the roles and responsibilities of incident response teams. You'll analyze and interpret network communications to detect security incidents using packet sniffing tools to capture network traffic. By assessing and analyzing artifacts, you'll explore the incident investigation and response processes and procedures. Additionally, you'll practice using Intrusion Detection Systems (IDS) and Security Information Event Management (SIEM) tools.
Google employees who currently work in cybersecurity will guide you through videos, provide hands-on activities and examples that simulate common cybersecurity tasks, and help you build your skills to prepare for jobs.
Learners who complete this certificate will be equipped to apply for entry-level cybersecurity roles. No previous experience is necessary.
By the end of this course, you will:
- Explain the lifecycle of an incident.
- Describe the tools used in documentation, detection, and management of incidents.
- Analyze packets to interpret network communications.
- Perform artifact investigations to analyze and verify security incidents.
- Identify the steps to contain, eradicate, and recover from an incident.
- Determine how to read and analyze logs during incident investigation.
- Interpret the basic syntax and components of signatures and logs in Intrusion Detection Systems (IDS) and Network Intrusion Detection Systems (NIDS) tools.
- Perform queries in Security Information and Event Management (SIEM) tools to investigate an event.
| 946 | Beginner | Course | 1 - 4 Weeks |
212 | Excel Basics for Data Analysis | IBM | Microsoft Excel, Spreadsheet Software, Data Analysis, Data Science | 4.8 | https://www.coursera.org/learn/excel-basics-data-analysis-ibm | 57,089 | This Specialization is for learners wishing to learn Microsoft Excel from beginner level to expert level. The first two courses will teach learners the basics of Excel through the use of dozens of educational screencasts and a series of quizzes and in-application assignments. Finally, in Part 3 (Projects), learners will complete several "real world", somewhat open ended yet guided projects. In the Projects course, special emphasis is placed on dynamic array functions, which are new in Office 365 and have revolutionized the way that worksheet calculations are performed.
Applied Learning Project
In Part 3 (Projects), learners choose three "warm-up" projects (chosen from five potential projects), three intermediate projects (chosen from six potential projects), and three main projects (chosen from five potential projects). Thus, learners have liberty to tailor their experience through choice of projects. Screencasts are provided that show hints and previews for each project.
| 6.9K | Beginner | Course | 1 - 3 Months |
213 | Introduction to Calculus | The University of Sydney | Algebra, Calculus, Mathematical Theory & Analysis, Mathematics, Problem Solving, Computational Logic, Critical Thinking, Differential Equations, Plot (Graphics), Linear Algebra | 4.8 | https://www.coursera.org/learn/introduction-to-calculus | 7,594 | This specialization is intended for novice business professionals seeking to develop management, leadership, finance, and digital marketing skills with the ultimate goal of preparing learners to operate or participate in the operation of a business. Throughout the three courses, learners will cover people management, the key features of leadership, strategic planning, search engine strategies, reputation management, content creation, common financial statements, cash flow, and expense management.
Applied Learning Project
Learners will create three unique final projects for this specialization including a strategic planning session agenda, written strategy concerning statements of cash flow and ratios, and digital marketing strategy recommendations. These projects are an opportunity to apply concepts learned in each of the courses.
| 3.5K | Intermediate | Course | 1 - 3 Months |
214 | MATLAB Programming for Engineers and Scientists | Vanderbilt University | Computer Programming, Other Programming Languages, Matlab, Data Analysis, Algorithms, Theoretical Computer Science, Data Visualization, Mathematics, Plot (Graphics), Visualization (Computer Graphics), Computer Graphics, Statistical Machine Learning, General Statistics, Problem Solving, Programming Principles | 4.8 | https://www.coursera.org/specializations/matlab-programming-engineers-scientists | 79,656 | This Specialization aims to take learners with little to no programming experience to being able to create MATLAB programs that solve real-world problems in engineering and the sciences. The focus is on computer programming in general, but the numerous language features that make MATLAB uniquely suited to engineering and scientific computing are also covered in depth. Topics presented range from basic programming concepts in the first course, through more advanced techniques including recursion, program efficiency, Object Oriented Programming, graphical user interfaces in the second course, to data and image analysis, data visualization and machine learning in the third course.
Applied Learning Project
The Specialization includes two projects. The first one is the final project of the second course. It is about creating an object oriented application with a graphical user interface that visualizes COVID-19 related data from around the world. The second project is part of the third course and it focuses on image processing.
| 18K | Beginner | Specialization | 3 - 6 Months |
215 | Medical Terminology | Rice University | Human Learning, Communication | 4.9 | https://www.coursera.org/specializations/medicalterminology | 11,968 | This specialization is intended for anybody that is interested in developing skills in medical language or preparing for further studies in the medical field. Learners will be able to identify common prefixes, suffixes, roots and abbreviations so they can recognize most medical terms used by medical professionals. Learners will also have an understanding of the structure of an electronic health record and extract vital information from it. Moreover, learners will gain basic knowledge of the anatomy and diagnoses related to all 10 main organ systems.
Applied Learning Project
Learners will complete 3 final assessments throughout the specialization to test their skills in medical language through fun activities and real-life examples. They are also given the option to present their skills in communicating within a medical setting.
| 423 | Beginner | Specialization | 3 - 6 Months |
216 | System Administration and IT Infrastructure Services | Google | Cloud Computing, Leadership and Management | 4.7 | https://www.coursera.org/learn/system-administration-it-infrastructure-services | 389,938 | This course will transition you from working on a single computer to an entire fleet. Systems administration is the field of IT that’s responsible for maintaining reliable computers systems in a multi-user environment. In this course, you’ll learn about the infrastructure services that keep all organizations, big and small, up and running. We’ll deep dive on cloud so that you’ll understand everything from typical cloud infrastructure setups to how to manage cloud resources. You'll also learn how to manage and configure servers and how to use industry tools to manage computers, user information, and user productivity. Finally, you’ll learn how to recover your organization’s IT infrastructure in the event of a disaster.
By the end of this course you’ll be able to:
● utilize best practices for choosing hardware, vendors, and services for your organization
● understand how the most common infrastructure services that keep an organization
running work, and how to manage infrastructure servers
● understand how to make the most of the cloud for your organization
● manage an organization’s computers and users using the directory services, Active
Directory, and OpenLDAP
● choose and manage the tools that your organization will use
● backup your organization’s data and know how to recover your IT infrastructure in the case of
a disaster
● utilize systems administration knowledge to plan and improve processes for IT environments
| 24K | Beginner | Course | 1 - 3 Months |
217 | Capstone: Applying Project Management in the Real World | Google | Communication, Leadership and Management, Planning, Problem Solving, Project Management | 4.8 | https://www.coursera.org/learn/applying-project-management | null | The demand for customer service representatives is huge, there are thousands of open job roles in the US alone. This program prepares you for a retail customer service role. Retail customer service is an exciting career where every day is a new day and a new adventure. The target audience for this certificate is anyone who is customer obsessed and is looking to launch a career in retail customer service.
This program uniquely prepares you for your new role by using a blend of videos, activities, discussions, simulations, peer-reviewed projects, and a final capstone. As you complete each of these activities, you will create experiences that you can reference in job interviews or even as you work with customers after you have landed the job.
At the end of this program, you will be able to:
- Create positive interactions with customers
- De-escalate conflict with customers
- Process retail transactions in real-world situations
- Describe the different roles in retail customer service
If you are someone that enjoys meeting people, solving problems, and are ready for new experiences, then this program is right for you. Upon completion of this program, you will receive a Professional Certificate from CVS Health to showcase your proficiency. You’ll also gain access to exclusive career support resources to help you in your job search and you’ll have a portfolio of meaningful activities you have completed to show prospective employers.
Applied Learning Project
Throughout this program, there are numerous self-guided activities to help you apply what you learn. In addition, there are three peer review projects, one capstone, and eight simulations.
Simulations allow you to practice customer interactions and transactions in the real world. Customers and managers will react to what you would do in each simulation, and you will be able to correct your actions or words as the simulation continues.
The projects will give you portfolio examples of how to handle customer interactions based on your practice in the real-world simulations. The final capstone project allows you to research and evaluate retail tasks in a real-world setting. You will go into retail settings and use a checklist to provide an analysis of your experience and reflect on how you would act differently based on what you've learned throughout the program.
| 7.2K | Beginner | Course | 1 - 4 Weeks |
218 | Private Equity and Venture Capital | Università Bocconi | Business Analysis, Entrepreneurial Finance, Finance, Financial Management, Investment Management, Mergers & Acquisitions, Entrepreneurship, Decision Making, Financial Analysis, Strategy | 4.8 | https://www.coursera.org/learn/private-equity | 237,964 | The course deals with the analysis of the private equity and venture capital business.
Over the course, students will be provided with a deep understanding of the mechanism underpinning the creation and/or development of a firm and the financial support it can get from the financial system through venture capital investment.
The course tries to discover how special financial intermediaries (called private equity investors) finance through equity companies belonging to different stages of their life-cycle, starting from the very beginning (startup and early stage) to a more mature phase (i.e. expansion, mature age, etc.) or also staying into crises and decline.
Private equity (named venture capital when the company is in the first phases of its life cycle) deals with very different activities, such as scouting, advisory, deal-making, valuation, and financing as financial intermediaries see it.
COURSE SYLLABUS
The course is made up of four different modules:
WEEK 1 - Introduction to Private Equity and Venture Capital
WEEK 2 - Discovering Private Equity Investors: Legal Issues and Taxation
WEEK 3 - Management of Private Equity and Venture Capital Funds
WEEK 4 - Company Valuation And Deal Making In Private Equity Settings
WEEK 5 - Final Test
Throughout the course, guest speakers and practitioners will be interviewed to provide some examples of concrete applications of the contents presented.
RECOMMENDED BACKGROUND
An understanding of the basic concepts of corporate financing accounting principles is required, while prior knowledge of private equity and venture capital is not required however it is recommended, as this is a course designed to introduce you to the fundamental concepts in private equity and venture capital.
| 7.9K | Mixed | Course | 1 - 3 Months |
219 | Management Consulting | Emory University | Leadership and Management, Business Communication, Critical Thinking, Problem Solving, Decision Making, Strategy, Business Development, Business Intelligence, Communication, Market Research, Data Analysis, People Analysis, People Management, Process Analysis, Project Management, Strategy and Operations, Data Management | 4.8 | https://www.coursera.org/specializations/managementconsulting | 9,868 | This covers all the consulting basics. Why do clients hire consultants? What are the top 10 superpowers that consultants have? How do you get a consulting job? How do you break-down problems? Why do consultants love data? How do consultants get smart quickly? How can you persuade others with your thinking, analysis, presentations, and words?
Applied Learning Project
You will be a consultant-in-training who needs to apply what you're learning to the assignments included in each course. It will help you think and act like a management consultant at your work and when recruiting for a consulting job. In addition to practicing with some consultant tools shared in the courses, other assignments will help prepare you for getting the job.
| 619 | Beginner | Specialization | 3 - 6 Months |
220 | Share Data Through the Art of Visualization | Google | Business Communication, Data Analysis, Data Visualization, Data Visualization Software, Tableau Software | 4.6 | https://www.coursera.org/learn/visualize-data | 430,820 | This is the sixth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. You’ll learn how to visualize and present your data findings as you complete the data analysis process. This course will show you how data visualizations, such as visual dashboards, can help bring your data to life. You’ll also explore Tableau, a data visualization platform that will help you create effective visualizations for your presentations. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.
Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary.
By the end of this course, you will:
- Examine the importance of data visualization.
- Learn how to form a compelling narrative through data stories.
- Gain an understanding of how to use Tableau to create dashboards and dashboard filters.
- Discover how to use Tableau to create effective visualizations.
- Explore the principles and practices involved with effective presentations.
- Learn how to consider potential limitations associated with the data in your presentations.
- Understand how to apply best practices to a Q&A with your audience.
| 8K | Beginner | Course | 1 - 4 Weeks |
221 | Financial Engineering and Risk Management | Columbia University | Finance, Risk Management, Probability & Statistics, Leadership and Management, Mathematics, Investment Management, Securities Sales, Securities Trading, Computer Programming | 4.5 | https://www.coursera.org/specializations/financialengineering | 33,709 | In this course, you’ll explore how financial statement data and non-financial metrics can be linked to financial performance. Professors Rick Lambert and Chris Ittner of the Wharton School have designed this course to help you gain a practical understanding of how data is used to assess what drives financial performance and forecast future financial scenarios. You’ll learn more about the frameworks of financial reporting, income statements, and cash reporting, and apply different approaches to analyzing financial performance using real-life examples to see the concepts in action. By the end of this course, you’ll have honed your skills in understanding how financial data and non-financial data interact to forecast events and be able to determine the best financial strategy for your organization.
| 217 | Intermediate | Specialization | 3 - 6 Months |
222 | Project Management | University of Colorado Boulder | Leadership and Management, Project Management, Planning, Strategy and Operations, Product Management, Agile Software Development, People Management, Strategy, Scrum (Software Development), Performance Management, Risk Management, Business Process Management, Business Communication, Decision Making, Adaptability, Organizational Development, Data Analysis, Estimation, Budget Management | 4.8 | https://www.coursera.org/specializations/meem-project-management | 11,334 | The Project Management specialization is designed to be an introduction to the project management discipline, including the concepts, tools, and techniques used in the management and leadership of projects. Key topics covered include the role of the project manager; the project team; cost, schedule and risk management; quality in projects; and the project lifecycle.
The courses in this specialization can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Logo image courtesy of Justus Menke, available on Unsplash at https://unsplash.com/photos/YGBYROFge3c
Applied Learning Project
Throughout the specialization, learners will be introduced to the concepts of project management. You will learn the formal project management process which includes tools that are commonly used in the discipline. Learners will have an opportunity to apply these tools to manage a small “virtual” project. Upon completion of the specialization, learners should have the basis for a comprehensive final project plan.
| 506 | Beginner | Specialization | 1 - 3 Months |
223 | Management of Fashion and Luxury Companies | Università Bocconi | Brand Management, Leadership and Management, Marketing, Retail Sales, Strategy, Communication, Digital Marketing, E-Commerce, Marketing Management, Retail Store Operations | 4.7 | https://www.coursera.org/learn/mafash | 256,877 | Learn how fashion and luxury companies work and understand their brands, products, retail, and communication strategies. Travel through business models, international development, and product categories with industry influent experts.
Adopting a case-study approach, the course presents strategic brand management in luxury and fashion companies as a balancing act: tradition vs. innovation, expertise vs. experimentation, casual vs. stylish; in order to increase the brand value by nurturing the brand heritage and at the same time staying fresh, relevant, and contemporary in the global marketplace.
Topics such as the impact of new retail channels, new media channels, and new business declinations for the brand and emerging markets will be discussed in the course.
| 5.6K | Mixed | Course | 1 - 3 Months |
224 | Automate Cybersecurity Tasks with Python | Google | Python Programming, Algorithms, Computer Programming | 4.8 | https://www.coursera.org/learn/automate-cybersecurity-tasks-with-python | 68,630 | Prove to potential employers that you’re up to the task by becoming an Autodesk Certified Professional. This online course from Autodesk prepares you by offering an overview of skills that match what is covered in the Autodesk Certified Professional: Revit for Architectural Design exam. The video lessons are structured to match the exam’s objective domains and follow the typical workflow and features of the Autodesk® Revit® Architecture software, including sections on modeling and materials, families, documentation, views, and Revit project management. In the course, you'll review advanced modeling architectural topics and work with walls, floors, roofs, ceilings, stairs, columns, and rooms. You'll also gain an understanding of exam topics such as family categories and types, phases and design options, schedules, and worksharing. Brush up on selection sets, detail components, color schemes, levels and grids, and much more.
About the Autodesk Certified Professional: Revit for Architectural Design exam:
The Autodesk Certified Professional: Revit for Architectural Design exam is the recognized standard for measuring your architectural design skills and knowledge in Revit. The certification enables you to showcase your abilities and also signals to potential employers that your skills have been validated. This type of experience typically comes from having worked with the software on a regular basis for at least 2 years, equivalent to approximately 400 hours (minimum) - 1200 hours (recommended), of real-world Autodesk software experience.
The Autodesk Certified Professional (ACP) certifications exams can be taken at a Pearson VUE Testing Center or through OnVUE, Pearson VUE’s online proctored environment. Candidates are given 120 minutes to complete a certification exam and should review the testing center polices and requirements before scheduling. Ready to take the exam? Schedule to take the exam online or find a testing center near you on Pearsonvue.com/autodesk.
Looking for more skill-building courses? Check out Autodesk’s additional learning resources to help with your learning journey: https://www.autodesk.com/learning
| 918 | Beginner | Course | 1 - 4 Weeks |
225 | Microsoft Azure Fundamentals AZ-900 Exam Prep | Microsoft | Cloud Computing, Microsoft Azure, Cloud Management, Cloud Applications, Cloud Infrastructure, Cloud Platforms, Network Security, Cloud Engineering, Cloud Standards, DevOps, Leadership and Management, System Security, Cloud Storage, Machine Learning, Software As A Service, Cloud-Based Integration, Software Security, Data Management, Product Lifecycle, Security Software, Databases | 4.6 | https://www.coursera.org/specializations/microsoft-azure-fundamentals-az-900 | 65,678 | Cloud computing is rapidly expanding into all areas of businesses, creating new and exciting career opportunities. These opportunities cover a broad range of roles, from developers and architects to security professionals and data scientists. This program will give you the fundamental knowledge, skills, and confidence to begin your Microsoft Azure certification journey.
This Microsoft Azure Fundamentals AZ-900 Exam Prep Specialization consists of four courses that will act as a bedrock of fundamental knowledge to prepare you for the AZ-900 certification exam and for a career in the cloud. The content of this program is tightly aligned to the AZ-900 exam objective domains.
This program will provide foundational level knowledge on Microsoft Azure concepts; core Microsoft Azure services; core solutions and management tools; general security and network security; governance, privacy, and compliance features; Microsoft Azure cost management, and service level agreements. Ideal for IT personnel just beginning to work with Microsoft Azure or anyone wanting to learn about it.
This Specialization will prepare you to take the AZ-900: Microsoft Azure Fundamentals exam. Upon completion of the Specialization, you will be offered a discount to the Microsoft Azure Fundamentals Certification Exam to be redeemed at Pearson Vue, Microsoft's proctor exam site. Limited discount vouchers are available on first-come-first-serve basis. Coursera and Microsoft may end the offer at any time.
Applied Learning Project
Learners will engage in interactive exercises throughout this program that offers opportunities to practice and implement what they are learning. They use the Microsoft Learn Sandbox. This a free environment that allows learners to explore Microsoft Azure and get hands-on with live Microsoft Azure resources and services.
For example, when they learn about creating a SQL database, they will work in a temporary Azure environment called the Sandbox. The beauty about this is that you will be working with real technology but in a controlled environment, which allows you to apply what you learn, and at your own pace.
You will need a Microsoft account to sign into the Sandbox. If you don't have one, you can create one for free. The Learn Sandbox allows free, fixed-time access to a cloud subscription with no credit card required. Learners can safely explore, create, and manage resources without the fear of incurring costs or "breaking production".
| 2.4K | Beginner | Specialization | 3 - 6 Months |
226 | Build Wireframes and Low-Fidelity Prototypes | Google | Product Design, User Experience, User Research | 4.9 | https://www.coursera.org/learn/wireframes-low-fidelity-prototypes | 58,050 | In this course, you will:
- Learn about GANs and their applications
- Understand the intuition behind the fundamental components of GANs
- Explore and implement multiple GAN architectures
- Build conditional GANs capable of generating examples from determined categories
The DeepLearning.AI Generative Adversarial Networks (GANs) Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach. It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more.
Build a comprehensive knowledge base and gain hands-on experience in GANs. Train your own model using PyTorch, use it to create images, and evaluate a variety of advanced GANs.
This Specialization provides an accessible pathway for all levels of learners looking to break into the GANs space or apply GANs to their own projects, even without prior familiarity with advanced math and machine learning research.
| 7.9K | Beginner | Course | 1 - 4 Weeks |
227 | Databases and SQL for Data Science with Python | IBM | Python Programming, Computer Programming, Data Analysis, Data Management, Data Structures, Database Administration, Database Application, Database Theory, Databases, SQL, Cloud Computing, IBM Cloud | 4.6 | https://www.coursera.org/learn/sql-data-science | 143,648 | In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.
This Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.
By the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.
| 19K | Beginner | Course | 1 - 3 Months |
228 | The Business of Music Production | Berklee | Creativity, Critical Thinking, Regulations and Compliance, Problem Solving, Process Analysis, Writing, Decision Making, Business Analysis, Deep Learning, Strategy, Leadership and Management | 4.8 | https://www.coursera.org/specializations/business-music-production | 9,178 | In the current music industry, it is crucial that artists and producers are armed with a clear understanding of how the business works. To be successful in this business, you must have equal parts musical artistry and business savvy. In this specialization, you’ll learn about the various roles in the music industry, how to read and decipher a recording contract, and how to protect your assets in the United States under US copyright law. You’ll also learn how to launch your career as a producer, how to establish a vision and intention for the music you want to produce, and how to record music using the most popular industry standard digital audio workstation (DAW), ProTools.
Applied Learning Project
In this specialization, you will analyze case studies of real music industry scenarios. You’ll also create a professional level recording project. You will produce, record, mix, and master either your own or another artist’s original music using the industry standard digital audio workstation, Pro Tools.
| 5K | Beginner | Specialization | 3 - 6 Months |
229 | Practical Data Science on the AWS Cloud | Multiple educators | Amazon Web Services, Exploratory Data Analysis | 4.5 | https://www.coursera.org/specializations/practical-data-science | 42,211 | Design modern switched-mode power converters; create high-performance control loops around power converters; understand efficiency, power density and cost trade-offs
By 2030, 80% of all electrical energy will be processed by power electronics. Professional advantages continue to grow for technical engineers who understand the fundamental principles and technical requirements of modern power conversion systems. This specialization covers design-oriented analysis, modeling and simulation techniques leading to practical engineering of high-performance power electronics systems.
| 533 | Advanced | Specialization | 1 - 3 Months |
230 | Java Programming and Software Engineering Fundamentals | Duke University | Computer Programming, Java Programming, Programming Principles, Algorithms, Problem Solving, Data Structures, Software Engineering, Computer Programming Tools, Critical Thinking, Computational Thinking, Data Analysis, Javascript, Software Testing, Front-End Web Development, HTML and CSS, Web Design, Web Development, Web Development Tools, Computer Graphic Techniques, Software Architecture, Data Model, Cryptography, Data Management, Small Data | 4.6 | https://www.coursera.org/specializations/java-programming | 3,516 | Introducing the Java FullStack Developer Specialization, designed to empower your software development career by providing a comprehensive skillset for building integrated, cloud-ready web applications.
The specialization consists of three intensive courses:
Fundamentals of Java Programming:
Understanding of core Java programming concepts and principles
Proficiency in object-oriented programming principles such as inheritance, polymorphism, and abstraction
Gaining knowledge in advanced Java topics like multi-threading, concurrency, and the application of common data structures
Front-End for Java Full Stack Development:
Acquiring essential skills in HTML, CSS, and JavaScript for creating interactive web pages
Mastery of the Angular framework, including the development of reactive forms and handling of HTTP requests
Building and deploying complex web applications that integrate with APIs
Data Structures & Back-End with Java:
Knowledge of fundamental data structures and algorithms and their implementation in Java
Proficiency in server-side programming with Servlets and JavaServer Pages (JSP)
Experience in connecting to databases using Java Database Connectivity (JDBC) and working with industry-standard frameworks like Spring and Hibernate
By the end of this specialization, you'll be well-versed in Java programming, dynamic front-end web development using Angular, and robust back-end system creation using Spring and Spring Boot.
Applied Learning Project
This specialization emphasizes hands-on learning and practical application, deeply rooted in real-world contexts. Learners are actively engaged in architecting robust web applications, applying their holistic understanding of Java, Angular, and Spring, and harnessing the power of experiential learning. Led by instructors with significant industry experience, learners explore the practical aspects of Java Full Stack Development, laying a robust foundation for their career in software development.
| 22K | Beginner | Specialization | 3 - 6 Months |
231 | Google Professional Workspace Administrator | Google Cloud | Leadership and Management, Account Management, Google Cloud Platform, Cloud Management, System Security, Cloud Applications, Cloud Platforms, Security Engineering, Operations Management, Software Security, Network Security, Cloud Computing, Data Management, Security Strategy, Cloud Infrastructure, Organizational Development, Other Cloud Platforms and Tools, Change Management, Cloud-Based Integration, Database Administration, Collaboration, Software As A Service, Strategy and Operations, Computer Security Incident Management, Planning, Strategy, Security Software, Project Management, Accounting | 4.7 | https://www.coursera.org/professional-certificates/g-suite-administration | 18,033 | Prepárate para este Certificado de Carrera de Google en Marketing Digital y Comercio Electrónico, que podrás completar en menos de seis meses, sin necesidad de contar con experiencia previa ni acreditar título universitario. Las empresas están a la búsqueda de talento para ocupar puestos laborales en estas áreas de alto crecimiento.Para el 86 % de las y los líderes empresarialesOpens in a new tab, el comercio electrónico será el canal de ventas más importante para el crecimiento de sus organizaciones.
Al completar este Certificado, adquirirás las habilidades necesarias para un trabajo de nivel inicial y aprenderás a usar herramientas y plataformas como Canva, Constant Contact, Google Ads, Google Analytics, Hootsuite, HubSpot, Mailchimp, Shopify y Twitter. Además, te formarás con especialistas de Google y crearás un portafolio con proyectos, como clientes ideales y calendarios de redes sociales, para mostrar a posibles empleadores.
El 75 % de quienes se gradúan en los Certificados de Carrera de Google en los Estados Unidos aseguran haber mejorado su situación laboral en menos de seis meses.1
Echa un vistazo a todos los Certificados de Carrera de Google aquíOpens in a new tab.
Este programa no contiene información confidencial. Todas las funciones de Google Search que se enseñan están disponibles públicamente. Puedes acceder a más información en la documentaciónOpens in a new tab oficial de Google Search.
1Según las respuestas de la encuesta de graduados del programa, EE.UU., 2021.
Applied Learning Project
El programa incluye más de 190 horas de lecciones y evaluaciones prácticas, que simulan casos reales de marketing digital y comercio electrónico. El contenido es interactivo y fue diseñado por colaboradores/as de Google con experiencia en el área.
Entre las habilidades que obtendrás están: desarrollar estrategias de marketing digital y comercio electrónico; atraer clientes y comunicarte con tu audiencia a través de diversos canales; analizar métricas y compartir información; crear tiendas en línea y evaluar su performance, y fidelizar clientes.
Aprenderás a usar, entre otras, las siguientes plataformas y herramientas: Canva, Constant Contact, Google Ads, Google Analytics, Hootsuite, HubSpot, Mailchimp, Shopify y Twitter.
A través de videos, evaluaciones y ejercicios prácticos, aprenderás a usar las herramientas y plataformas necesarias para ocupar un puesto de nivel inicial. Adquirirás las habilidades que muchos de los empleadores están buscando hoy en el mercado.
| 2.9K | Beginner | Professional Certificate | 1 - 4 Weeks |
232 | Scrum Master Certification | LearnQuest | Agile Software Development, Scrum (Software Development), Project Management, Software Engineering, Continuous Delivery, Product Development, Continuous Integration, Leadership and Management, Product Management, Collaboration, Software Testing, Strategy, Application Development, DevOps, Product Lifecycle, Planning, Software Engineering Tools, System Software, Devops Tools, Performance Management, Risk Management | 4.7 | https://www.coursera.org/specializations/learnquest-certified-scrum-master | 52,569 | In this Specialization, you'll learn about managing tasks and events within a Sprint, Scrum terminology and roles, Scrum reporting, and managing risks. We'll discuss Story Points and User Stories, scaling Scrum, Continuous Integration, test-Driven Development (TDD), and Behavior Driven Development (BDD).
Applied Learning Project
Throughout this Specialization, you'll create a plan for Continuous Integration, define your cross-functional team functions, and design a plan for practicing DevOps using Cloud and Virtualization. Because Scrum is a collaborative effort, you will be working and communicating with others in the course to discuss approaches and styles.
| 2.6K | Beginner | Specialization | 3 - 6 Months |
233 | The Strategy of Content Marketing | University of California, Davis | Digital Marketing, Marketing, Writing, Strategy | 4.5 | https://www.coursera.org/learn/content-marketing | 484,753 | This course is a partnership between the leading content marketing authority, Copyblogger, and UC Davis Continuing and Professional Education. In this course, you will learn the core strategies content marketers use to acquire and retain customers profitably. Specifically, you will learn how to develop, organize and implement a content marketing strategy, analyze and measure the effectiveness of content marketing, write compelling copy, use a strategic framework when writing, and build your professional brand and authority through content marketing. You will also learn how to put the ideas presented to you into action and build your own personal brand through content marketing.
| 4.3K | Intermediate | Course | 1 - 3 Months |
234 | Introduction to Front-End Development | Meta | HTML and CSS, React (web framework), Web Development, Front-End Web Development, Web Design, Web Development Tools | 4.8 | https://www.coursera.org/learn/introduction-to-front-end-development | 140,407 | We have all seen forensic scientists in TV shows, but how do they really work? What is the science behind their work?
The course aims to explain the scientific principles and techniques behind the work of forensic scientists and will be illustrated with numerous case studies from Singapore and around the world.
Some questions which we will attempt to address include:
How did forensics come about? What is the role of forensics in police work? Can these methods be used in non-criminal areas?
Blood. What is it? How can traces of blood be found and used in evidence?
Is DNA chemistry really so powerful?
What happens (biologically and chemically) if someone tries to poison me? What happens if I try to poison myself?
How can we tell how long someone has been dead? What if they have been dead for a really long time?
Can a little piece of a carpet fluff, or a single hair, convict someone?
Was Emperor Napoleon murdered by the perfidious British, or killed by his wallpaper?
*For Nanyang Technological University (NTU) students, please be noted that this course will no longer be eligible for credit transfer.
| 9.5K | Beginner | Course | 1 - 4 Weeks |
235 | Six Sigma Black Belt | University System of Georgia | Leadership and Management, Organizational Development, Strategy and Operations, General Statistics, Probability & Statistics, Operations Management, Process Analysis, Statistical Analysis, Business Analysis, Data Analysis, Project Management, Business Process Management, Performance Management, Basic Descriptive Statistics, Entrepreneurship, Statistical Tests, Problem Solving, Probability Distribution, Statistical Visualization, Strategy, Decision Making, Leadership Development, Planning, Correlation And Dependence, People Management, Communication, Customer Analysis, Marketing, Sales, Conflict Management, Customer Success, Experiment | 4.6 | https://www.coursera.org/specializations/six-sigma-black-belt | 13,523 | In this Specialization, learners developed and furthered their understanding of the Six Sigma DMAIC process. This Specialization also explored the intersection between Six Sigma and Lean
as well as developed enhanced understanding of the DMAIC process beyond the
confines of Green Belt instruction by also including content in Organizational
Planning and Development, Team Management, and Design for Six Sigma.
Applied Learning Project
Throughout the Specialization, learners are tasked with the completion of portions of a capstone type peer reviewed project grounded in the DMAIC process and implemented such that the deliverables align with the content presented in the course. Quizzes are also offered to reinforce and cement understanding of the content.
| 475 | Intermediate | Specialization | 3 - 6 Months |
236 | Introduction to Cybersecurity Tools & Cyber Attacks | IBM | Cryptography, Security Software, Cyberattacks, Leadership and Management | 4.6 | https://www.coursera.org/learn/introduction-cybersecurity-cyber-attacks | 54,196 | Introduction to Cyber Security was designed to help learners develop a deeper understanding of modern information and system protection technology and methods. The learning outcome is simple: We hope learners will develop a lifelong passion and appreciation for cyber security, which we are certain will help in future endeavors. Students, developers, managers, engineers, and even private citizens will benefit from this learning experience. Special customized interviews with industry partners were included to help connect the cyber security concepts to live business experiences.
Applied Learning Project
Quizzes and projects for Introduction to Cyber Security were designed to exercise the learner’s understanding and retention of the covered topics. Emphasis is on foundational issues, rather than just memorizing facts. The goal is to help learners develop the habit of properly assessing and improving cyber risk posture in real computing, networking, and software systems. Authentic scenarios are included based on practical enterprise and infrastructure deployments to enhance the learning experience.
| 15K | Beginner | Course | 1 - 4 Weeks |
237 | Financial Management | University of Illinois at Urbana-Champaign | Financial Management, Finance, Financial Analysis, Financial Accounting, Leadership and Management, Accounting, Investment Management, Risk Management, Cash Management, Accounts Payable and Receivable, General Accounting, Management Accounting, Account Management, Corporate Accouting, Generally Accepted Accounting Principles (GAAP), Cost Accounting, Decision Making, Market Analysis, Securities Trading, Strategy, Correlation And Dependence, Taxes, Mergers & Acquisitions | 4.7 | https://www.coursera.org/specializations/financial-management | 7,075 | In an era of thriving businesses, both small and large, it is crucial to possess a wholistic understanding of the financial building blocks of a successful organization. Through this 3-course Specialization in Financial Analysis, you will gain a well-rounded knowledge of key financial concepts that will help you apply an analytic mindset to understanding and driving organizational decisions and success.
The courses in this Specialization focus on financial topics and organizational principles. Topics covered include:
Understanding the importance of gaining a financial perspective
Identifying and applying fundamental principles of Accounting and Finance
Identifying a firm’s financial statements and understanding how they reflect company position and performance
Understanding the basics of financial statement analysis
Using financial information to facilitate strategic and operational decision-making
Planning and budgeting to effectively and efficiently allocate resources
This specialization is designed to build on the foundational skills developed in the Google Data Analytics Professional Certificate; earn a dual credential when you complete a Google Career Certificate and this specialization.
Applied Learning Project
A central premise of these courses is that obtaining a well-rounded understandingof the financial concepts is crucial to successfully growing and sustaining an organization.Major subject areas will be followed by an in-depth application and analysis exercise.
| 6.5K | Intermediate | Specialization | 3 - 6 Months |
238 | Food Sustainability, Mindful Eating, and Healthy Cooking | Stanford University | Leadership and Management | 4.8 | https://www.coursera.org/specializations/food-sustainability-mindful-eating-healthy-cooking | 137,227 | Managing a company in the food and beverage industry is a fascinating task.
Food and beverage products are so deeply rooted in the culture of most countries that making and selling them is not only a matter of making and selling good and tasty products, but products that nurture people's body, soul, and heart. Given this, it's not difficult to see that the task quickly becomes complex.
The objective of this course is twofold: first, we will focus on contemporary challenges that managers and entrepreneurs in food and beverage businesses should be able to face; and second, we will provide models and tools to design and implement appropriate courses of action to satisfy customers and build an advantage over the competition.
This course is made up of four modules and an introduction, each exploring one dilemma that food and beverage companies face. You will be presented with a set of video lectures and guest speakers. These lectures combine an accessible introduction to specific topics integrated with interviews of managers and experts that will give precious insights and examples to the participants.
To enhance your learning experience with us, we will make a Documentary on the Excellences of the Modena District available for you, which is in a format that we have developed specifically for this course in order to give you the chance to experience first-hand the territory as our on-campus students usually do.
Each module is paired with an evaluated quiz and weekly discussion forums to reflect on the variety of the F&B world, its complexity, and the power of the network that we will build together during the course.
Successful completion of the quizzes is required for a course certificate as explained in the Grading Policy.
Below the guest speakers of the course:
Masterchef Italia Sky – Nils Hartmann, Head of Movie Channels at Sky Italia – www.masterchef.sky.it
Eataly - Paolo Bongiovanni, Marketing Director Italy – www.eataly.net
Berlucchi – Paolo Ziliani, Owner – www.berlucchi.it
Joia Restaurant – Alta Cucina Naturale – Pietro Leemann, Owner and Chef – www.joia.it
Branca – Nicolò Branca, Owner – www.branca.it
Barilla – Giuseppe Morici, President Region Europe – www.barilla.com
Proyecto Expo 2015 Chile – Guillermo Ariztia, Chile Pavillon Director – www.expomilan.cl
Winery Il Cavallante, Milano – Sergio Morpurgo, Owner
Heineken – Floris Cobelens, Marketing Director – www.heineken.com
TRDN – Martin Oetting, Managing Director – www.trnd.com
GROM – Federico Grom, Owner and Founder – www.grom.it/en
Tetra Pak – Matthew Hatton, Director Competitor Intelligence – www.tetrapak.com
BioHombre – Matteo Panini, CEO – www.hombre.it
Acetaia Maletti – Carmen & Claudio Maletti
Cantine Riunite & CIV – Vanni Lusetti, CEO; Francesca Benini, Sales & Marketing Manager; Elena Lottici, Export Manager; Mario Vandi, Brand Manager – www.riunite.it
GlemGas – Marco Guerzoni, Program Product Manager – www.glemgas.com
Bibendum Catering – LaFranceschetta58 – Sabrina Lazzereschi & Marta Pulini, Owners and Founders – www.bibendumcatering.it , www.franceschetta58.it
DISCLAIMER - Since most of the videos are conducted with those whose native language is not English, we have decided to sometimes preserve their more emphatic speech to keep a tighter match between the audio and the subtitles.
| 434 | Beginner | Specialization | 1 - 3 Months |
239 | Calculus for Machine Learning and Data Science | DeepLearning.AI | Machine Learning, Calculus, Differential Equations, Mathematics, Machine Learning Algorithms, Regression, Algebra, Algorithms, Artificial Neural Networks | 4.8 | https://www.coursera.org/learn/machine-learning-calculus | 1,403,637 | The COVID-19 crisis has created an unprecedented need for contact tracing across the country, requiring thousands of people to learn key skills quickly. The job qualifications for contact tracing positions differ throughout the country and the world, with some new positions open to individuals with a high school diploma or equivalent.
In this introductory course, students will learn about the science of SARS-CoV-2 , including the infectious period, the clinical presentation of COVID-19, and the evidence for how SARS-CoV-2 is transmitted from person-to-person and why contact tracing can be such an effective public health intervention. Students will learn about how contact tracing is done, including how to build rapport with cases, identify their contacts, and support both cases and their contacts to stop transmission in their communities. The course will also cover several important ethical considerations around contact tracing, isolation, and quarantine. Finally, the course will identify some of the most common barriers to contact tracing efforts -- along with strategies to overcome them.
| 445 | Beginner | Course | 1 - 4 Weeks |
240 | Music Production | Berklee | Creativity, Planning | 4.8 | https://www.coursera.org/specializations/music-production | 4,779 | In the Music Education for Teachers specialization, you will explore ways of integrating popular music into your teaching. You'll begin by learning from two highly experienced teachers, Krystal Banfield, the Vice President of Educational Outreach for Berklee College of Music, and David Alexis a Berklee Professor and long-time instructor for the Berklee City Music Program. They will take you through their process of incorporating popular music, improvisation, arranging, and music technology into the classroom while still fulfilling the common core learning standards.
You'll continue with a deeper dive into these topics that will help you build your popular music curriculum. In Jazz Improvisation taught by Grammy-winning Gary Burton, you'll learn how to use improvisation as language and story-telling. You'll also learn how to use a variety of chord scales, modes, and improv techniques. Next, in Arranging for Songwriters taught by renown Berklee faculty Bonnie Hayes and Sarah Brindell, you'll learn how to create arrangements of songs. Finally, in The Art of Music Production, taught by producer Stephen Webber, you'll learn how to begin to record music in a meaningful, yet approachable way.
This specialization will give you the tools you'll need to develop effective, relevant, and compelling lessons for your classroom, online learning space, or private lesson instruction.
Applied Learning Project
In this specialization, you will develop a toolkit to teach popular music, improvisation, arranging, and music technology. You will also create projects in each of the popular music subjects that you will use, including projects on jazz improvisation, arranging songs, and music production.
| 2.8K | Beginner | Specialization | 3 - 6 Months |
241 | Python Project for Data Science | IBM | Python Programming, Computer Programming, Data Analysis, Data Science | 4.5 | https://www.coursera.org/learn/python-project-for-data-science | 165,927 | This mini-course is intended to for you to demonstrate foundational Python skills for working with data. This course primarily involves completing a project in which you will assume the role of a Data Scientist or a Data Analyst and be provided with a real-world data set and a real-world inspired scenario to identify patterns and trends.
You will perform specific data science and data analytics tasks such as extracting data, web scraping, visualizing data and creating a dashboard. This project will showcase your proficiency with Python and using libraries such as Pandas and Beautiful Soup within a Jupyter Notebook. Upon completion you will have an impressive project to add to your job portfolio.
PRE-REQUISITE: **Python for Data Science, AI and Development** course from IBM is a pre-requisite for this project course. Please ensure that before taking this course you have either completed the Python for Data Science, AI and Development course from IBM or have equivalent proficiency in working with Python and data.
NOTE: This course is not intended to teach you Python and does not have too much instructional content. It is intended for you to apply prior Python knowledge.
| 3.8K | Intermediate | Course | 1 - 4 Weeks |
242 | Game Design: Art and Concepts | California Institute of the Arts | Creativity, Storytelling, Writing | 4.7 | https://www.coursera.org/specializations/game-design | 16,335 | In this completely revised 2021 version of the Specialization, learners build the skills necessary to design and development games. The Specialization focuses on both the theory and practice of game making. From a technical standpoint, learners create four game projects in the latest Unity 2020 game engine, include a 2D Shooter, 2D Platformer, First-Person Shooter, and 3D Platformer. In the Capstone Project, learners create a completely original game of their own design from initial concept up to the first playable prototype. The Specialization comes from the Michigan State University game program which is ranked as one of the top programs in North America.
Applied Learning Project
Learners build four complete Unity game projects while acquiring the knowledge, skills, and attitudes to succeed in the game industry. Learners build a solid foundation for industry roles as a game designer, level designer, technical designer, technical artist, programmer, and/or producer.
| 3.8K | Beginner | Specialization | 3 - 6 Months |
243 | Investment Management | University of Geneva | Finance, Investment Management, Leadership and Management, Financial Analysis, Risk Management, Financial Management, Market Analysis, Strategy, Decision Making, Behavioral Economics, Strategy and Operations, Correlation And Dependence, Market Research, Performance Management, Probability & Statistics, Securities Trading, Mathematical Theory & Analysis, Banking, Statistical Analysis | 4.7 | https://www.coursera.org/specializations/investment-management | 109,804 | Whether you are starting out or looking for a career change, the Intuit Academy Bookkeeping program prepares you for a variety of jobs in public accounting, private industry, government, and non-profit organizations—and for the Intuit Academy Bookkeeping exam. If you are detail-oriented and passionate about solving clients’ problems, this program is for you. You’ll gain a foundational understanding of accounting principles and an introduction to QuickBooks Online through hands-on practice working with real-world accounting scenarios. Upon completion, you’ll be ready to take the Intuit Academy Bookkeeping examOpens in a new tab. With this certification, you will be qualified to apply for a position as a bookkeeper at Intuit QuickBooks Live or anywhere in the field. To learn more, visit https://academy.intuit.com/Opens in a new tab.
Build a foundation of bookkeeping concepts and accounting measurement.
Learn how to work through the phases of the accounting cycle to produce key financial statements.
Practice interpreting and analyzing financial statements to make key business decisions.
You will need access to spreadsheet software (Excel, Google Sheets, Numbers or the equivalent) for some activities in this course. No previous accounting or bookkeeping experience necessary.
Disclaimer: While this program aims to provide you with bookkeeping skills, completion is not a guarantee, or condition, of employment at Intuit or in the bookkeeping field.
Applied Learning Project
In this program, you will dive deep into realistic customer scenarios to apply your knowledge of bookkeeping and accounting. You’ll get to review and reconcile accounts, record business transactions, and balance books to produce key financial statements for a variety of business types.
If you are looking to take the QuickBooks Online ProAdvisor Certification exam, sign up for the ProAdvisor ProgramOpens in a new tab or log into your existing QBO Accountant subscription.
| 7.2K | Beginner | Specialization | 3 - 6 Months |
244 | Bayesian Statistics | University of California, Santa Cruz | Probability & Statistics, Bayesian Statistics, Probability Distribution, General Statistics, Statistical Analysis, R Programming, Statistical Programming, Mathematics, Regression, Data Analysis, Estimation, Statistical Tests, Machine Learning, Markov Model, Forecasting | 4.6 | https://www.coursera.org/specializations/bayesian-statistics | null | This Specialization is about building an in-depth understanding of Batteries in Electric Vehicles Scenarios. The courses comprise topics such as Batteries and their types, applications, architecture, Cell Chemistries, Battery Charging its Modes & Standards, Battery Management Systems, Cell Balancing, Wire Harness, and Battery Connectors.
Applied Learning Project
This Specialization will include a lab project in Course 5. Learners will select a topic from one of the five courses and prepare a lab report on developments in technology, current research, potential environmental impacts etc. Reports will be peer reviewed and submitted in module five of course five.
| 3.4K | Intermediate | Specialization | 3 - 6 Months |
245 | Financial Analysis - Skills for Success | University of Illinois at Urbana-Champaign | Finance, Financial Accounting, Accounts Payable and Receivable, Accounting, General Accounting, Financial Analysis, Leadership and Management, Cost Accounting, Account Management, Generally Accepted Accounting Principles (GAAP), Business Analysis, Financial Management, Risk Management, Operational Analysis, Data Analysis, Planning | 4.6 | https://www.coursera.org/specializations/financial-analysis-skills-for-success | 140,351 | This course, developed at the Darden School of Business at the University of Virginia and taught by top-ranked faculty, will teach you the tools you'll need to understand the fundamentals of financial accounting. Concise videos, the financial records of a small business, and "your turn" activities guide you through the three most commonly used financial statements: the Balance Sheet, the Income Statement, and the Statement of Cash Flows. Beyond recording transactions, you'll learn how to prepare these financial statements, and read and analyze them to draw basic conclusions about a company's financial health.
By the end of this course, you will be able to:
- Use journal entries to record transactions
- Prepare and use t-accounts to summarize transactions recorded during an accounting period
- Describe the three most commonly used financial statements and how they fit together
- Prepare these financial statements based on transactions recorded during an accounting period
- Draw basic conclusions about a company's financial health
| 171 | Beginner | Specialization | 1 - 3 Months |
246 | Salesforce Sales Development Representative | Salesforce | Leadership and Management, Sales, Communication, Emotional Intelligence, Strategy, Business Analysis, Customer Relationship Management, Prospecting and Qualification, Sales Systems, Business Communication, Business Development, Business Intelligence, Data Management, Salesforce | 4.5 | https://www.coursera.org/professional-certificates/sales-development-representative | 32,074 | If you’ve always wanted a rewarding career, the tech sales industry may be the path for you. If you’re an ambitious problem-solver who likes to win, you’ll find tech sales not only fulfilling, but lucrative as well. As the tech industry continuously introduces innovative services and products, tech sales roles have become more crucial than ever. SDRs are in the front lines of the tech biz, connecting with customers and clients, and coming up with the smartest solutions for their problems. Sales Development Representatives aren’t just important to the business — they’re essential.
Tech sales will be a gratifying career if you’re looking to pivot career paths, or if you have previous experience in retail sales, but want to take that experience to a totally new level in tech. Do you enjoy engaging with customers? Do you need to be immersed in a value-driving, stimulating industry that’s constantly giving you new, exciting challenges? Would you like to thrive in a high-energy environment that’s collaborative and data-driven? Then it sounds like Tech Sales is for you.
Your next job could be at one of SV Academy’s 400+ high-growth employer partners. Top companies like Survey Monkey, InsideView, Vimeo, Handshake, Gainsight, or Palo Alto Networks, are hiring Sales Development Representatives in the U.S. for revenue-generating roles. No experience in tech or sales is required to pursue a new, awesome career in Tech Sales. This Professional Certificate is where you start.
Applied Learning Project
Each of the 5 courses included in the program culminates in an experiential project to prepare you for all aspects of becoming a successful SDR on the frontlines of businesses. You will learn the SV Academy Conversational Selling methodology and how to apply the principles to real-world scenarios. By gaining hands-on skills with the latest tech tools skills in the SDR workflow, you will learn how to boost productivity in converting inbound and outbound leads into opportunities. By the end of the program, you will have a results-driven professional portfolio that will set you apart and position you for top performance in the interview process to land a job in tech sales.
| 407 | Beginner | Professional Certificate | 3 - 6 Months |
247 | Introduction to Marketing | University of Pennsylvania | Brand Management, Customer Analysis, Market Analysis, Marketing, Marketing Design, Product Marketing, Product Strategy, Strategy, Digital Marketing, Leadership and Management, Communication | 4.8 | https://www.coursera.org/learn/wharton-marketing | 93,061 | In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process for developing, deploying, and continuously improving a productionized ML application.
Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles to help you develop production-ready skills.
Week 1: Overview of the ML Lifecycle and Deployment
Week 2: Selecting and Training a Model
Week 3: Data Definition and Baseline
| 13K | Mixed | Course | 1 - 3 Months |
248 | Human Resources Analytics | University of California, Irvine | Human Resources, People Analysis, Business Analysis, Employee Relations, Human Resources Operations, Leadership and Management, People Development, Communication, Data Visualization, Influencing, Storytelling, Data Analysis | 4.6 | https://www.coursera.org/learn/human-resources-analytics | 82,073 | With advances in technology and cloud computing, there are now numerous data sources available to guide decision-making and drive organizational success. Harvesting the right kind of data requires that HR teams possess strong analytical skills; high-performing HR teams know that their function is to leverage data as a “decision science” by identifying metrics and data sources that deliver organizational insights. In order to do so, HR must ensure that metrics and measures are used effectively to achieve strategic goals. This course focuses on identifying effective data sources, developing meaningful metrics, designing long-term measures, and applying results in support of organizational strategy and tactics.
| 1.4K | Mixed | Course | 1 - 4 Weeks |
249 | Photography Basics and Beyond: From Smartphone to DSLR | Michigan State University | Creativity, Social Media, Operations Management, Writing | 4.7 | https://www.coursera.org/specializations/photography-basics | null | In this foundational Pharmacy Technician Career Training Specialization, students will take four courses to master the fundamentals of a career in pharmacy. The first two courses teach how to communicate and engage professionally in any healthcare setting and the necessary knowledge of human anatomy and physiology required for any medical role. Next, students dive into two pharmacy-related courses - Pharmacy Technician Essentials and Pharmacy Dosages & Prescriptions Essentials - to round out their entry-level pharmacy education.
Applied Learning Project
Learners will apply their knowledge of regulatory and compliance requirements to research the Pharmacy Technician role in their state. Learners will provide peer review on each other's work, which will allow them to compare the requirements for their own state with the requirements of other states.
| 6.2K | Beginner | Specialization | 3 - 6 Months |
250 | The Singer Songwriter | Berklee | Creativity, Writing | 4.8 | https://www.coursera.org/specializations/singer-songwriter | 22,093 | Do you have a song in your heart that you want to share it with others? In the Singer/Songwriter specialization, you will learn all the skills you need to write, perform, and record your own original music. You’ll begin by learning how to play the guitar to accompany yourself in Guitar for Beginners. You’ll learn how to play chords and scales, as well as strumming patterns and finger picking patterns. In Singing Popular Music, you’ll explore your voice and develop your own personal style. You’ll learn how to sing properly, mastering the correct techniques and breath support. From there, you’ll hone your writing craft, focusing on lyrics. You’ll learn about stressed and unstressed syllables, rhyme schemes, and lyrical phrasing.You’ll also record into a Digital Audio Workstation, focusing on Ableton Live and capturing both MIDI and real instruments into your DAW to record and share your ideas with the world.
Applied Learning Project
In the first course of this specialization, Guitar for Beginners, you will play a song using a lead sheet from start to finish. In Singing Popular Music, you will hone your style and perform a song. By the end of Songwriting: Writing the Lyrics, you will have completed an original song. Finally, you will produce and record your original music using real instruments and MIDI in Introduction to Ableton Live.
| 4.2K | Beginner | Specialization | 3 - 6 Months |
251 | CompTIA a+_ cyber | CompTIA | Cloud Computing, Cyberattacks, Data Management, Human Computer Interaction, Network Security, Operating Systems, System Security | 4.6 | https://www.coursera.org/specializations/comptia-aplus-cyber | null | In this guided project you will gain hands-on experience exploring an Integrated Development Environment (IDE), creating a Python program using the IDE, and writing and running code in several languages. You will learn how to display a phrase in multiple languages including C, Java, Go, Python, Node JS, Ruby, PHP, PERL, Bash, C++, and HTML. You will also learn how to recognize programming concepts, demonstrate use of variables in a program, and gain the ability to execute programming logic using if-then statements.
When you complete this guided project, you can earn a shareable badge to display your Coding skills and gain additional Coding knowledge when you enroll in Introduction to Cybersecurity Essentials which is part of the Information Technology (IT) and Cloud Fundamentals Specialization.
The IT and Cloud Fundamentals Specialization provides prerequisite skills for almost all IT careers, including technical support specialist, data analyst, data scientist, software engineer, systems administrator, and IT manager. With this specialization, you'll acquire hardware, operating systems, programming, database, networking, storage, cybersecurity, and cloud computing knowledge and skills that prepare you for an entry-level IT role. Also, this specialization will help you understand and manage IT responsibilities within your organization.
Introduction to Cybersecurity Essentials is also part of the IBM Technical Support Professional Certificate. The IBM Technical Support Professional Certificate prepares you for a job as a technical support professional. In as little as 3 months, you can develop job-ready skills valued by employers in the Technical Support field. You will learn the foundations of IT support and develop hands-on knowledge of operating systems and networking, cybersecurity, cloud computing, and providing end-to-end customer support.
No experience is necessary to participate in this guided project. All you need are basic computer operating skills.
Learn without limitations. Enroll today!
| 25 | Beginner | Specialization | 1 - 3 Months |
252 | Contabilidad para no contadores | Universidad Nacional Autónoma de México | Accounting, Finance, Financial Accounting, General Accounting, Accounts Payable and Receivable, Business Analysis, Financial Analysis, Operational Analysis, Planning, Calculus | 4.8 | https://www.coursera.org/learn/contabilidad | 41,943 | This course is designed to maximize your ability to create change at the individual, team and system levels. Through study, reflection, and deploying practical tools, you will establish a firm connection between your clearly articulated Purpose, effective Priorities, visualized Potential for success, and pathway to maximized Progress. But, what does that mean in practice?
When you take this course, you will:
- Improve your ability to get the most out of life: Learn a simple practice to reflect on your purpose, clarify priorities, visualize your potential, and maximize your effectiveness at progressing towards your goals.
- Strengthen your leadership toolkit: Tap into your unique leadership style and strengths and join or create a community of others to maximize your potential as a team.
- Create change through systems thinking: Become a more effective agent of positive change and appreciate the power and complexity of system thinking.
| 8.6K | Beginner | Course | 1 - 3 Months |
253 | Coding for Everyone: C and C++ | University of California, Santa Cruz | C Programming Language Family, Computer Programming, Programming Principles, Algorithms, Data Structures, C++ Programming, Computational Logic, Computer Programming Tools, Computational Thinking, Critical Thinking, Mathematics, Problem Solving, Graph Theory, Theoretical Computer Science | 4.5 | https://www.coursera.org/specializations/coding-for-everyone | 3,053 | This specialization is intended for application developers, system administrators and architects seeking to develop their understanding of container technology. In this three-course specialization, you will explore a range of foundational concepts from various use cases for containerized technology to understanding the differences between Kubernetes and Red Hat OpenShift to learning how to scale deployed applications.
Applied Learning Project
These courses include detailed hands-on exercises (step-by-step guides) which teach a range of concepts from the foundation concepts of containerized applications, to deploying containerized applications to Kubernetes and OpenShift. After completing this specialization, you should have a foundational understanding of how to develop, deploy, scale and troubleshoot containerized applications to Kubernetes and OpenShift.
| 9K | Beginner | Specialization | 3 - 6 Months |
254 | Business Statistics and Analysis | Rice University | Probability & Statistics, Statistical Analysis, Business Analysis, General Statistics, Data Analysis, Spreadsheet Software, Basic Descriptive Statistics, Microsoft Excel, Statistical Tests, Probability Distribution, Business Intelligence, Data Analysis Software, Regression, Data Management, Critical Thinking, Data Visualization, Interactive Data Visualization, Plot (Graphics), Statistical Visualization | 4.7 | https://www.coursera.org/specializations/business-statistics-analysis | 127,935 | This Specialization is designed to teach you to communicate effectively in English in professional contexts. You will expand your English vocabulary, improve your ability to write and speak in English in both social and professional interactions, and learn terminology and skills that you can apply to business negotiations, telephone conversations, written reports and emails, and professional presentations.
| 12K | Beginner | Specialization | 3 - 6 Months |
255 | Object Oriented Programming in Java | Multiple educators | Computer Programming, Java Programming, Algorithms, Data Structures, Problem Solving, Programming Principles, Computational Thinking, Computer Programming Tools, Critical Thinking, Software Engineering, Computational Logic, Data Analysis, Visualization (Computer Graphics), Software Testing, Computer Graphics, Cryptography, Data Management | 4.6 | https://www.coursera.org/specializations/object-oriented-programming | 71,713 | This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment.
| 15K | Beginner | Specialization | 3 - 6 Months |
256 | Six Sigma Green Belt | University System of Georgia | Data Analysis, Probability & Statistics, Business Analysis, Process Analysis, Statistical Analysis, General Statistics, Operational Analysis, Business Process Management, Organizational Development, Performance Management, Problem Solving, Project Management, Statistical Tests, Statistical Visualization, Strategy and Operations, Decision Making, Leadership and Management, Mathematics, Operations Management, Supply Chain and Logistics, Entrepreneurship, Planning, Probability Distribution, Data Visualization, Experiment, Interactive Data Visualization, Interactive Design, Design and Product | 4.7 | https://www.coursera.org/specializations/six-sigma-green-belt | 59,371 | This specialization is for you if you are looking to learn more about the more advanced components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes, performance, and quality assurance.
In this specialization, you will learn proven principles and tools specific to six sigma and lean.
This is a sequential, linear designed specialization that covers a more advanced level of content (at the "green belt" level) of Six Sigma and Lean. Yellow Belt knowledge is needed before advancing to Green Belt (which is the second specialization offered here on Coursera by the USG). Green Belt knowledge is needed before moving to a Black Belt.
The proper sequence of this specialization is:
Course #1 - Six Sigma and the Organization (Advanced)
Course #2 - Six Sigma Advanced Define and Measure Phase
Course #3 - Six Sigma Advanced Analyze Phase
Course #4 - Six Sigma Advanced Improve and Control Phase
At the end of Course #4 (Six Sigma Advanced Improve and Control Phase), there is a peer-reviewed, capstone project. Successful completion of this project is necessary for full completion of this specialization.
It should be noted that completing either the Yellow Belt or Green Belt Specializations does not give the learner "professional accreditation" in Six Sigma, but should assist in better preparation for such professional accreditation testing.
Applied Learning Project
Upon completion of this specialization, learners will have created a project charter, project team charter, data collection plan, process map, control plan, along with null and alternative hypotheses, problem statement, business case, goal statement, process and scope description, and timeline. All these will be created using the six sigma principles and tools they learned.
| 4K | Intermediate | Specialization | 3 - 6 Months |
257 | Microsoft Azure Data Fundamentals DP-900 Exam Prep | Microsoft | Data Management, Databases, Microsoft Azure, Cloud Computing, SQL, Big Data, Data Analysis, Database Application, Data Architecture, Data Warehousing, Cloud Storage, Data Structures, Data Visualization, Extract, Transform, Load, Leadership and Management, NoSQL, Data Analysis Software, Data Visualization Software, Database Administration, Cloud Infrastructure, Cloud Management, Database Theory, PostgreSQL | 4.7 | https://www.coursera.org/specializations/microsoft-azure-dp-900-data-fundamentals | 15,021 | This Specialization is intended for IT professionals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Through five courses, you will prepare to take the DP-900 exam.
This program will prepare you to take up Data Engineer, Data Analyst, and Database Administrator roles. You will explore the roles, tasks, and responsibilities in the world of data. You will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure.
You will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores, and the processing options available for building data analytics solutions in Microsoft Azure. You will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight and learn what Power BI is, including its building blocks and how they work together.
This Specialization will prepare you to take the DP-900: Microsoft Azure Data Fundamentals exam. Upon completion of the Specialization, you will be offered a discount to the Microsoft Azure Data Fundamentals Certification Exam to be redeemed at Pearson Vue, Microsoft's proctor exam site. Limited discount vouchers are available on first-come-first-serve basis. Coursera and Microsoft may end the offer at any time.
Applied Learning Project
Learners will engage in interactive exercises throughout this program that offers opportunities to practice and implement what they are learning. They use the Microsoft Learn Sandbox. This is a free environment that allows learners to explore Microsoft Azure and get hands-on with live Microsoft Azure resources and services.
For example, when you learn about provisioning Azure relational database services, you will work in a temporary Azure environment called the Sandbox. The beauty about this is that you will be working with real technology but in a controlled environment, which allows you to apply what you learn, and at your own pace.
You will need a Microsoft account to sign into the Sandbox. If you don't have one, you can create one for free. The Learn Sandbox allows free, fixed-time access to a cloud subscription with no credit card required. Learners can safely explore, create, and manage resources without the fear of incurring costs or "breaking production".
| 574 | Beginner | Specialization | 3 - 6 Months |
258 | Programming in C++: A Hands-on Introduction | Codio | Computer Programming, Computer Science, Problem Solving | 4.6 | https://www.coursera.org/specializations/hands-on-cpp | 21,364 | This specialization is intended for people without programming experience who seek to develop C++ programming skills and learn about the underlying computer science concepts that will allow them to pick up other programming languages quickly. In these four courses, you will cover everything from fundamentals to object-oriented design. These topics will help prepare you to write anything from small programs to automate repetitive tasks to larger applications, giving you enough understanding of C++ to tackle more specialized topics such as Data Science and Artificial Intelligence.
Applied Learning Project
Learners will create a variety of practical projects including helpful C++ programs that can speed up everyday tasks such as an automated file updater. Later projects will create graphical output using the Clmg library, and even including animations.
| 962 | Beginner | Specialization | 3 - 6 Months |
259 | Microsoft Azure Data Scientist Associate (DP-100) | Microsoft | Machine Learning, Microsoft Azure, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Software, Cloud Computing, Python Programming, Human Learning, Algorithms, Big Data, Cloud Applications, Data Analysis, Regression, Cloud-Based Integration, Extract, Transform, Load, Training, Exploratory Data Analysis, Cloud Platforms, Data Management, Deep Learning, Experiment | 4.4 | https://www.coursera.org/professional-certificates/azure-data-scientist | 14,258 | This Professional Certificate is intended for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. This Professional Certificate teaches learners how to create end-to-end solutions in Microsoft Azure. They will learn how to manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions; and implement responsible machine learning. They will also learn to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.
This program consists of 5 courses to help prepare you to take the Exam DP-100: Designing and Implementing a Data Science Solution on Azure. The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at cloud scale using Azure Machine Learning. This Professional Certificate teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam.
By the end of this program, you will be ready to take the DP-100: Designing and Implementing a Data Science Solution on Azure.
Applied Learning Project
Learners will engage in interactive exercises throughout this program that offers opportunities to practice and implement what they are learning. They will work directly in the Azure Portal and use the Microsoft Learn Sandbox. This is a free environment that allows learners to explore Microsoft Azure and get hands-on with live Microsoft Azure resources and services.
For example, when you learn about training a deep neural network; you will work in a temporary Azure environment called the Sandbox. The beauty about this is that you will be working with real technology but in a controlled environment, which allows you to apply what you learn, and at your own pace.
You will need a Microsoft account. If you don't have one, you can create one for free. The Learn Sandbox allows free, fixed-time access to a cloud subscription with no credit card required. Learners can safely explore, create, and manage resources without the fear of incurring costs or "breaking production".
| 309 | Intermediate | Professional Certificate | 3 - 6 Months |
260 | Google Project Management (PT) | Google | Project Management, Process Analysis, Collaboration, Organizational Development, Communication, Decision Making, Strategy, Product Management, Business Communication, Adaptability, Agile Software Development, Change Management, Leadership and Management, People Analysis, Scrum (Software Development), Strategy and Operations, Continuous Integration, Risk Management, Spreadsheet Software, Professional Development, Programming Principles, Application Development | 4.9 | https://www.coursera.org/professional-certificates/gestao-de-projetos-do-google | 1,962 | Auch ohne Abschluss oder Vorerfahrungen können Sie eine Karriere im stark wachsenden Bereich des Projektmanagements in Angriff nehmen. Holen Sie sich professionelles Training von Google.
Projektmanager:innen sind von Natur aus Problemlöser. Sie legen den Plan fest, leiten Teammitglieder an und managen Änderungen, Risiken und Stakeholder.
Erwerben Sie in 6 Kursen gefragte Fähigkeiten, die Sie auf eine Einstiegsposition vorbereiten. Sie lernen von Google-Mitarbeitenden, deren Grundlagenkenntnisse im Projektmanagement als Ausgangspunkt für ihre eigene Karriere dienten. Bei weniger als 10 Stunden pro Woche können Sie das Programm in weniger als sechs Monaten abschließen.
Dieses Programm entspricht über 100 Stunden Projektmanagement-Ausbildung und bereitet Sie auf die Zertifizierungen des Project Management InstituteOpens in a new tab wie die weltweit anerkannte Zertifizierung Certified Associate in Project Management (CAPM)®Opens in a new tab vor.
75% der Absolvierenden des Google-Zertifikats in den USA berichten von Verbesserungen bei ihrem beruflichen Werdegang innerhalb von 6 Monaten nach Abschluss des Zertifikats.
Alle Google Career Certificates finden Sie hierOpens in a new tab.
Zitat: *basierend auf den Antworten einer Absolventenbefragung, USA 2021
Applied Learning Project
Das Programm umfasst über 140 Unterrichtsstunden und Hunderte von praxisbasierten Tests, in denen Sie reale Projektmanagement-Szenarien simulieren, die für den Erfolg am Arbeitsplatz entscheidend sind.
Die stark interaktiven Inhalte wurden ausschließlich von Google-Mitarbeitenden entwickelt, die über jahrzehntelange Erfahrung im Projektmanagement verfügen.
Sie erwerben folgende Fähigkeiten: Erstellen von Risikomanagementplänen; Kennenlernen von Prozessverbesserungstechniken; Management von Eskalationen, Teamdynamiken und Stakeholdern; Erstellen von Budgets und Organisieren des Einkaufs; Einsatz von Projektmanagement-Software, -Tools und -Vorlagen; agiles Projektmanagement (Scrum).
Durch Videos, Bewertungen und praktische Aktivitäten werden Sie in die Initiierung, Planung und Durchführung von traditionellen und agilen Projekten eingeführt. Sie entwickeln eine Toolbox, um Ihr Verständnis der wichtigsten Projektmanagementelemente zu demonstrieren.
| 2K | Beginner | Professional Certificate | 3 - 6 Months |
261 | Python Data Structures | University of Michigan | Computational Logic, Computer Programming, Critical Thinking, Data Analysis, Data Management, Data Structures, Problem Solving, Programming Principles, Python Programming, Software Engineering | 4.9 | https://www.coursera.org/learn/python-data | 996,497 | This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3.
| 94K | Beginner | Course | 1 - 3 Months |
262 | Fundamentals of Finance | University of Pennsylvania | Accounting, Finance, Financial Accounting, Financial Analysis, Mathematics, Problem Solving, Decision Making, Estimation, Investment Management, Management Accounting | 3.9 | https://www.coursera.org/learn/finance-fundamentals | 84,787 | The purpose of this course is to review the material covered in the Fundamentals of Engineering (FE) exam to enable the student to pass it. It will be presented in modules corresponding to the FE topics, particularly those in Civil and Mechanical Engineering. Each module will review main concepts, illustrate them with examples, and provide extensive practice problems.
| 844 | Beginner | Course | 1 - 3 Months |
263 | Statistical Analysis with R for Public Health | Imperial College London | Data Analysis, General Statistics, Probability & Statistics, Statistical Analysis, Statistical Tests, R Programming, Regression, Biostatistics, Statistical Programming, Basic Descriptive Statistics, Exploratory Data Analysis, Critical Thinking, Correlation And Dependence, Probability Distribution, Epidemiology | 4.7 | https://www.coursera.org/specializations/statistical-analysis-r-public-health | 30,316 | Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health.
In this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around.
This specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019.
The specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data.
Applied Learning Project
In each course, you'll be introduced to key concepts and a data set to be used as a worked example throughout that course. Public health data are messy, with missing values and weird distributions all too common. The data you'll use are either real or simulated from real patient-level data sets (all anonymised and with usage permissions in place).
The emphasis will be on “learning through doing” and “learning through discovery” as you encounter typical data and analysis problems for you to solve and discuss among your fellow learners. You'll get the chance to work things out for yourself and with your peers before accessing the answers and explanation provided by the instructors.
| 1.9K | Beginner | Specialization | 3 - 6 Months |
264 | Applied Machine Learning in Python | University of Michigan | Algorithms, Machine Learning, Machine Learning Algorithms, Python Programming, Applied Machine Learning, Statistical Machine Learning, Data Analysis, Regression, Human Learning, Statistical Programming, Computer Programming | 4.6 | null | null | null | 8.4K | Intermediate | Course | 1 - 4 Weeks |
265 | Real-World Product Management | Advancing Women in Tech | Leadership and Management, Product Strategy, Product Management, Strategy, Marketing, Strategy and Operations, Product Marketing, Business Process Management, Customer Success, Market Analysis | 4.5 | https://www.coursera.org/specializations/real-world-product-management | 18,964 | Learn product management using the same curriculum as Amazon and Google PMs! Gain insights to impress on your first (or next) product manager (PM) role.
Lead instructor Nancy Wang, Director and General Manager of Data Protection Services at Amazon Web Services, and former Rubrik and Google PM leader shares the key business, technical, design, and leadership skills necessary for success at PM roles at the world’s top technology companies. These skills will serve you throughout your career.
Learn the most desired product management skills from 20 product leaders at Amazon, Google/Alphabet, Facebook/Instagram, and Silicon Valley startups. View the full list of our industry leading teaching talent in our course descriptions below!
Ready to interview? We dedicate 30% of this Specialization to teaching how to impress during your next interview and role. Learn how to systematically attack each type of product management interview question. Watch two live PM interviews (one Google, one Amazon) with real-time feedback and practice your interview skills with hundreds of real PM interview questions asked by Amazon, Google, Meta, and Microsoft!
This Specialization is ACE® approvedOpens in a new tab—when you complete it, you can earn up to 6 college credits.
Applied Learning Project
Bring your own product or idea as we:
1. Map your customer personas and journeys
2. Involve non-buyers to influence buyers
3. Apply Bain's elements of value
4. Draft PRDs and PRFAQs
5. Size your product market using TAM, SAM, and SOM
6. Perform competitive analyses
7. Draft your product vision, roadmap, and backlog
8. Draft Google-style OKRs
9. Design an A/B test
10. Calculate NPS, CSAT, and CES
11. Addict your customers across your product journey
12. Price your product
13. Research competitors' LTV
14. Analyze financial statements
15. Lead with designers & engineers
16. Answer real technical PM interview questions
17. Practice real behavioral, product design, strategy, data analysis, and estimation PM interview questions.
(Facebook calls the question types above leadership & drive, product sense, and execution -- you'll practice those too!)
18. Resist your proxies
19. Realign your metrics with your product vision
And more!
| 806 | Beginner | Specialization | 3 - 6 Months |
266 | ITIL 4 Exam Preparation | LearnQuest | Organizational Development, Leadership and Management, Planning | 4.7 | https://www.coursera.org/learn/itil-4-exam-preparation | 42,890 | ITIL® 4 Foundation Test Preparation is designed to introduce learners to the key concepts, terminology, and best practices for creating, and improving the quality of IT services across the IT organization. This class is focused on exam preparation. Through a series of self-paced learning, practice quizzes and exams, students become acquainted with ITIL terminology, and how it applies to the Service Value Lifecycle.
This course requires 5 weeks at about 2-4 hours/week to complete.
| 979 | Mixed | Course | 1 - 3 Months |
267 | Introduction to Data Engineering | IBM | Data Engineering, Data Management, Extract, Transform, Load, Databases, Network Security, Big Data, Data Warehousing, Leadership and Management, SQL, Data Science, NoSQL | 4.7 | https://www.coursera.org/learn/introduction-to-data-engineering | 407,164 | Ready to start a career in Data Analysis but don’t know where to begin? This course presents you with a gentle introduction to Data Analysis, the role of a Data Analyst, and the tools used in this job. You will learn about the skills and responsibilities of a data analyst and hear from several data experts sharing their tips & advice to start a career. This course will help you to differentiate between the roles of Data Analysts, Data Scientists, and Data Engineers.
You will familiarize yourself with the data ecosystem, alongside Databases, Data Warehouses, Data Marts, Data Lakes and Data Pipelines. Continue this exciting journey and discover Big Data platforms such as Hadoop, Hive, and Spark.
By the end of this course you’ll be able to understand the fundamentals of the data analysis process including gathering, cleaning, analyzing and sharing data and communicating your insights with the use of visualizations and dashboard tools.
This all comes together in the final project where it will test your knowledge of the course material, and provide a real-world scenario of data analysis tasks.
This course does not require any prior data analysis, spreadsheet, or computer science experience.
| 2.2K | Beginner | Course | 1 - 4 Weeks |
268 | Google Project Management (DE) | Google | Design and Product, Microsoft Excel, Software Engineering, Leadership and Management, Business Analysis, Business Design, Data Analysis, Marketing Design, Creativity, Persona Research, Customer Analysis | 4.3 | https://www.coursera.org/professional-certificates/google-project-management-de | 5,841 | Préparez-vous à une carrière dans le domaine de la gestion de projet, sans avoir besoin d’expérience ni de diplôme. Suivez une formation professionnelle conçue par Google et vous trouverez rapidement un emploi bien rémunéré.
Les gestionnaires de projet sont des experts de la résolution de problèmes. Ils établissent les plans, encadrent les membres de leur équipe et gèrent les changements, les risques et les partenaires.
Les 6 cours de ce programme vous apporteront les compétences très recherchées qui vous prépareront à un poste de niveau débutant. Vous apprendrez avec des employés de Google ayant commencé leurs carrières par un poste dans la gestion de projet. Avec 10 heures par semaine de travail personnel, vous pouvez terminer en moins de six mois.
Avec ses 100 heures de formation en gestion de projet, ce programme vous prépare aux certifications du Project Management InstituteOpens in a new tab, comme le Certified Associate in Project Management (CAPM)®, mondialement reconnuOpens in a new tab.
75 % des diplômés du Google Career Certificate ont constaté une évolution positive de leur carrière, telle qu’un nouvel emploi, une promotion ou une augmentation de salaire dans les 6 mois suivant leur diplôme.²
Découvrez tous les Google Career Certificates iciOpens in a new tab.
² « Coursera Learner Outcome Survey », tout le temps pour le certificat de support IT de Google. Les données sont collectées à partir d’enquêtes sur la plateforme ou par e-mail du 18 au 21 janvier, et sont cumulatives.
Applied Learning Project
Ce programme comprend plus de 140 heures d’enseignement et des centaines d’évaluations pratiques, qui vous aideront à simuler des scénarios de gestion de projet concrets, qui sont essentiels à la réussite en milieu professionnel.
Le programme est très interactif et a été développé spécifiquement par des employés de Google possédant des décennies d’expérience en gestion de projet.
Les compétences acquises comprendront : Créer des programmes de gestion des risques ; comprendre les techniques d’amélioration des processus ; gérer les remontées à la hiérarchie, la dynamique d’équipe et les partenaires ; établir des budgets et piloter les approvisionnements ; utiliser des logiciels, des outils et des modèles de gestion de projet ; pratiquer la gestion de projet Agile, et plus particulièrement le Scrum.
Grâce à des vidéos, des évaluations et des activités pratiques, vous serez initié au lancement, à la planification et à l’exécution de projets traditionnels et Agile.
| 58 | Beginner | Professional Certificate | 3 - 6 Months |
269 | Finance for Technical Managers | University of Colorado Boulder | Finance, Financial Analysis, Accounting, Investment Management, Cost Accounting, Leadership and Management, Financial Accounting, Financial Management, Strategy and Operations | 4.7 | https://www.coursera.org/specializations/finance-for-technical-managers | 165,806 | This short course surveys all the major topics covered in a full semester MBA level finance course, but with a more intuitive approach on a very high conceptual level. The goal here is give you a roadmap and framework for how financial professional make decisions.
We will cover the basics of financial valuation, the time value of money, compounding returns, and discounting the future. You will understand discounted cash flow (DCF) valuation and how it compares to other methods. We also step inside the mind of a corporate financial manager and develop the basic tools of capital budgeting. We will survey the how, when, and where to spend money, make tradeoffs about investment, growth, dividends, and how to ensure sound fiscal discipline. Our journey then turns to a Wall Street or capital markets perspective of investments as we discuss the fundamental tradeoff between risk and return. We then synthesize our discussion of risk with our valuation framework and incorporate it into series of direct applications to practice.
This course requires no prior familiarity with finance. Rather, it is intended to be a first step for anyone who is curious about understanding stock markets, valuation, or corporate finance. We will walk through all of the tools and quantitative analysis together and develop a guide for understanding the seemingly complex decisions that finance professionals make.
By the end of the course, you will develop an understanding of the major conceptual levers that push and pull on financial decision making and how they relate to other areas of business. The course should also serve as a roadmap for where to further your finance education and it would be an excellent introduction of any students contemplating an MBA or Finance concentration, but who has little background in the area.
| 95 | Beginner | Specialization | 3 - 6 Months |
270 | Investment Management with Python and Machine Learning | EDHEC Business School | Investment Management, Finance, Python Programming, Data Analysis, Computer Programming, Machine Learning, Statistical Programming, Applied Machine Learning, Financial Analysis, Machine Learning Algorithms, Risk Management, Statistical Machine Learning, Data Analysis Software, Data Management, Data Mining, Natural Language Processing, Human Learning, Big Data, Computer Science | 4.6 | https://www.coursera.org/specializations/investment-management-python-machine-learning | 82,673 | In this Specialization, you will understand how investment strategies are designed to reach financial goals in a global context. You will learn the theory that underlies strong investment decisions, as well as practical, real-world skills that you can apply when discussing investment proposals with your advisor, managing your personal assets or your client’s investment portfolio. You will start by developing a global understanding of financial markets and what impacts rational and irrational behaviors have in finance at the micro and macro levels. You will then learn how to adequately build and manage a portfolio with a long-term view while gaining an appreciation for novel research advances in finance and related areas as well as future trends that are shaping the investment management industry. In the final Capstone Project, you will create a sensible 5-year investment plan that accounts for an investor's goals and constraints in a dynamic economic landscape. Key speakers from UBS, our corporate partner, will contribute to this specialization by providing you with practical insights they have gathered through years of experience working for the world’s largest wealth manager.
Director of this Specialization and main teaching contributor: Dr. Michel Girardin, Lecturer in Macro-Finance, University of Geneva
| 1.7K | Beginner | Specialization | 3 - 6 Months |
271 | Cybersecurity Attack and Defense Fundamentals | EC-Council | Network Security, Security Engineering, System Security, Computer Networking, Computer Security Incident Management, Software Security, Computer Security Models, Mobile Security, Cyberattacks, Security Software, Internet Of Things, Network Architecture, Cloud Computing, Kubernetes, Regulations and Compliance | 4.6 | https://www.coursera.org/specializations/cybersecurity-attack-and-defense | 29,593 | There are a growing number of exciting, well-paying jobs in today’s tech industry that do not require a traditional college degree, an one of the hottest areas with high demand is in IT customer service and support. Customer Service is a perfect entry point to start your career in IT, with a multitude of job openings ranging from onsite or remote help desk work to customer care or client support. We can help you get there with the Customer Service Fundamentals course.
We will help you to build the knowledge and develop the skills needed to be a successful Customer Service Specialist:
• Communication Skills which focus on clear, concise communication and listening.
• Appropriate empathetic behavior such as such as patience, curiosity, and willingness to help.
• Problem solving to research an issue and help determine an appropriate resolution.
• Process adherence to ensure the proper flow and Service Level Agreements are met.
The course is divided into 4 modules, and you will be assessed and awarded badges along the way! The course also includes interactive training including labs to reinforce all of the learning components above.
At the conclusion of the course, you will receive an email notification from Acclaim with instructions for claiming the badge. Upon accepting your badge, it will be necessary to create a user account on Acclaim, where you will have the ability to manage your badge(s), opt-in to other communications and features, as well as take advantage of features allowing you to share your badge to social media and other destinations.
| 306 | Beginner | Specialization | 3 - 6 Months |
272 | AI & Law | Lund University | Human Computer Interaction, Human Learning, Machine Learning, Applied Machine Learning, Decision Making, Machine Learning Algorithms, Critical Thinking, Leadership and Management, Process Analysis, Regulations and Compliance | 4.7 | https://www.coursera.org/learn/ai-law | 26,023 | About this Course
This four-week course titled AI and Law explores the way in which the increasing use of artificially intelligent technologies (AI) affects the practice and administration of law defined in a broad sense. Subject matters discussed include the connection between AI and Law in the context of legal responsibility, law-making, law-enforcing, criminal law, the medical sector and intellectual property law.
The course aims to equip members of the general public with an elementary ability to understand the meaningful potential of AI for their own lives. The course also aims to enable members of the general public to understand the consequences of using AI and to allow them to interact with AIs in a responsible, helpful, conscientious way. Please note that the law and content presented in this course is current as of the launch date of this course.
At the end of this course, you will have a basic understanding of how to:
• Understand the legal significance of the artificially intelligent software and hardware.
• Understand the impact of the emergence of artificial intelligence on the application and administration of law in the public sector in connection with the enforcement of criminal law, the modelling of law and in the context of administrative law.
• Understand the legal relevance of the use of artificially intelligent software in the private sector in connection with innovation and associated intellectual property rights, in the financial services sector and when predicting outcomes of legal proceedings.
• Understand the importance of artificial intelligence for selected legal fields, including labour law, competition law and health law.
Syllabus and Format
The course consists of four modules where one module represents about one week of part-time studies. A module includes a number of lectures and readings, and finishes with an assessment – a quiz and/or a peer graded assignment. The assessments are intended to encourage learning and ensure that you understand the material of the course. Participating in forum discussions is voluntary.
Modules
Module 1. AI and Law
Module 2. Legal AI in the Public Sector
Module 3. Legal AI in the Private Sector
Module 4. Selected Challenges
Lund University
Lund University was founded in 1666 and has for a number of years been ranked among the world’s top 100 universities. The University has 47 700 students and 7 500 staff based in Lund, Sweden. Lund University unites tradition with a modern, dynamic, and highly international profile. With eight different faculties and numerous research centers and specialized institutes, Lund is the strongest research university in Sweden and one of Scandinavia's largest institutions for education and research. The university annually attracts a large number of international students and offers a wide range of courses and programmes taught in English.
The Faulty of Law is one of Lund University’s four original faculties, dating back to 1666. It is a modern faculty with an international profile, welcoming both international and Swedish students. Education, research and interaction with the surrounding community are the main focus of the Faculty’s work. The connection between the three is particularly apparent in the programmes and courses offered by the university, including the university’s MOOC course in European Business Law. The students get the chance to engross themselves in traditional legal studies, while interacting with both researchers and professionally active lawyers with qualifications and experience from various areas of law.
The faculty offers three international Masters: two 2-year Master’s programmes in International Human Rights Law and European Business Law, and a 1-year Master’s in European and International Tax Law. Students from around 40 countries take part in the programmes which offer a unique subject specialization within each field, with highly qualified researchers and professional legal practitioners engaged in the teaching.
| 397 | Beginner | Course | 1 - 4 Weeks |
273 | Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course) | Hebrew University of Jerusalem | Computational Logic, Computer Architecture, Computer Programming, Hardware Design, Theoretical Computer Science, Computer Programming Tools, Critical Thinking, Problem Solving, Systems Design | 4.9 | https://www.coursera.org/learn/build-a-computer | 150,886 | Build Dynamic User Interfaces (UI) for Websites is the sixth course in a program that will equip you with the skills you need to apply to entry-level jobs in user experience (UX) design. In this course, you will plan a design for a website, create wireframes and prototypes, and test your designs to get feedback. Additionally, you will learn about engaging in design critique sessions and how to give and receive feedback. By the end of this course, you will have a new design project to include in your professional UX portfolio. In addition, you’ll learn how to search for entry-level UX design jobs, create a resume that highlights your skills and accomplishments, and build your professional portfolio website.
Current UX designers and researchers at Google will serve as your instructors, and you will complete hands-on activities that simulate real-world UX design scenarios. Learners who complete the seven courses in this certificate program should be equipped to apply for entry-level jobs as UX designers.
By the end of this course, you will be able to:
- Apply each step of the UX design thinking framework (empathize, define, ideate, prototype, test) to create a responsive website.
- Plan information architecture and create sitemaps for website designs.
- Apply common layouts for web pages.
- Plan and conduct a usability study to gather feedback about designs.
- Iterate on designs based on research insights.
- Work with design systems.
- Add a new design project to your professional UX portfolio.
- [Optional] Create or update a UX-focused resume.
- [Optional] Learn how to search for and apply to introductory-level jobs in the field of UX.
This course is suitable for beginner-level UX designers who have completed the previous five courses of the Google UX Design Certificate. Alternatively, learners need to have a strong foundational understanding of the design process; experience creating wireframes, mockups, and prototypes; and the ability to conduct usability studies. No previous experience with Figma is required.
| 3.5K | Mixed | Course | 1 - 3 Months |
274 | Branding: The Creative Journey | IE Business School | Brand Management, Marketing, Leadership and Management, Advertising, Communication, Strategy, Creativity, Strategy and Operations, User Experience, Customer Analysis, Design and Product, Media Strategy & Planning, Customer Relationship Management, Customer Success, Customer Support, Social Media, Storytelling, User Experience Design, Visual Design, Graphic Design, Journalism | 4.6 | https://www.coursera.org/specializations/branding-the-creative-journey | 129,803 | This is the first course in a series of four that will give you the skills needed to start your career in bookkeeping. If you have a passion for helping clients solve problems, this course is for you. In this course, you will be introduced to the role of a bookkeeper and learn what bookkeeping professionals do every day. You will dive into the accounting concepts and terms that will provide the foundation for the next three courses. You will learn how to work your way through the accounting cycle and be able to read and produce key financial statements.
By the end of this course, you will be able to:
-Define accounting and the concepts of accounting measurement
-Explain the role of a bookkeeper and common bookkeeping tasks and responsibilities
-Summarize the double entry accounting method
-Explain the ethical and social responsibilities of bookkeepers in ensuring the integrity of financial information.
No previous bookkeeping or accounting experience required.
| 1.4K | Beginner | Specialization | 3 - 6 Months |
275 | The Manager's Toolkit: A Practical Guide to Managing People at Work | University of London | Human Resources, Leadership and Management, People Management, Conflict Management, Decision Making, Human Resources Operations, People Analysis, Performance Management, Recruitment, Business Analysis, Employee Relations, Leadership Development, Organizational Development, People Development | 4.7 | https://www.coursera.org/learn/people-management | 147,248 | The aim of this course is to give you a practical guide to managing people at work. It does not matter whether you are a first time manager in a shop or a middle manager in an office environment; the same skills apply to every work place. In the course you will engage with some HR theories and then see how they translate into every day working life.
At the end of the course we hope you will be better equipped to choose a suitable employee, to motivate and appraise your team, to manage conflict in the work place and to lead and make decision on a day to day basis.
| 3.6K | Mixed | Course | 1 - 3 Months |
276 | Talent Acquisition | HRCI | Mergers & Acquisitions, Recruitment | 4.8 | https://www.coursera.org/learn/talent-acquisition | 15,469 | This course focuses on all aspects of the talent acquisition process. You will learn how to forecast workforce needs, source and recruit talented candidates, and hire and onboard new employees.
By the end of this course, you will be able to:
● Create a recruitment strategy
● Perform a job analysis and write a job description
● Explain the talent acquisition life cycle
● Identify core elements of negotiation, job offers, and employment contracts
● Implement best practices for employee onboarding
No prior experience in Human Resources is needed to be successful in this course.
| 289 | Beginner | Course | 1 - 4 Weeks |
277 | Convolutional Neural Networks in TensorFlow | DeepLearning.AI | Machine Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Human Learning, Tensorflow, Python Programming, Machine Learning Software | 4.7 | https://www.coursera.org/learn/convolutional-neural-networks-tensorflow | 122,100 | Construction Project Management introduces learners to Project Initiation and Planning. Columbia University professor, Ibrahim Odeh, along with industry experts join together to provide a comprehensive overview of the construction industry. There are 10 modules that allow learners to become knowledgeable of construction management within the dynamic construction industry.
Professor Odeh teaches learners about the fundamentals of the Project Development Cycle while guest lecturers discuss Lean Project Delivery method and Lean Design Behaviors. Technological advances, such as Building Information Modeling (BIM), will be introduced with real world examples of the uses of BIM during the Lifecycle of the Project. The course concludes with Professor Odeh discussing the importance of project planning and scheduling and an opportunity to develop a Work Breakdown Structure.
By the end of this course, you will be able to:
-Learn about construction management, including an understanding of the construction industry, the role of a project manager, construction contract types, and project delivery methods
-Explain the fundamental principles to establish Environment, Health and Safety in the construction industry
-Detail the principles and application of sustainability development in construction industry
-Summarize the work breakdown structure (WBS) and estimate the construction activity duration
| 8K | Intermediate | Course | 1 - 4 Weeks |
278 | Reducing Gun Violence in America: Evidence for Change | Johns Hopkins University | Exploratory Data Analysis | 4.7 | https://www.coursera.org/learn/gun-violence | 10,852 | Reducing Gun Violence in America: Evidence for Change is designed to provide learners with the best available science and insights from top scholars across the country as well as the skills to understand which interventions are the most effective to offer a path forward for reducing gun violence in our homes, schools, and communities.
Through this course, you will learn how to:
1. Appreciate the scope of gun violence and the importance of considering the issue across a variety of contexts.
2. Describe the role of law and policy in addressing gun violence at the federal, state, and local levels.
3. Compare the effectiveness of gun violence policies and highlight the importance of changing the way we talk about gun
violence.
4. Describe state standards for civilian gun carrying and use and how those standards affect crime and violence.
5. Describe how firearm design is regulated, the effective and just enforcement of firearm laws, and strategies for reducing
police-involved shootings.
6. Identify and explain evidence-based programs to reduce gun violence and understand public opinion on gun policy.
As a student of this course, it’s important to recognize that you are part of an international learning community. We understand that gun violence can be a difficult issue to discuss and we all have our own set of opinions and beliefs. However, we ask you to please remember that gun violence is something that affects every person differently. It’s important to understand that this course is intended to generate productive and meaningful conversation.
We ask students of this course to abide by the rules outlined and expected of you by Coursera’s Code of Conduct Policy. Please help us promote a healthy, productive, and sustainable learning environment for all and practice the following principles:
Be polite.
Treat your fellow learners with respect.
Insulting, condescending, or abusive words will not be tolerated.
Do not harass other learners.
Polite debate is welcome as long as you are discussing the ideas or the evidence, not attacking the person.
Be sensitive.
Remember that Coursera is a global forum with learners from many different cultures and backgrounds.
Be kind, thoughtful, and open-minded when discussing race, religion, gender, sexual orientation, or controversial topics
since others likely have differing perspectives.
Post appropriate content.
Content that violates the Honor Code or Terms of Service is not permitted.
You may not post inappropriate (e.g., pornographic or obscene) content.
Do not post copyrighted content.
Do not advertise or promote outside products or organizations.
Do not spam the forums with repetitive content.
Please note that violations of Coursera’s Code of Conduct, Honor Code, or Terms of service are not permitted and may result in:
Deletion of posted content.
Removal from the course.
Losing access to the Coursera site.
*It is important to also note that certain policies and laws mentioned in this course are likely to change and develop over time. As a result, we understand that course content may need to be updated to reflect such changes. While we will strive to do this as quickly as possible, we appreciate your patience. All information included in the course is reported accurately at the time of recording and we intend to update lectures as soon as possible and to the best of our ability.
The development of this course was made possible through generous financial support provided by the David and Lucile Packard Foundation, an organization committed to improving the lives of children, enabling the creative pursuit of science, advancing reproductive health, and conserving and restoring the earth’s natural systems.
| 258 | Beginner | Course | 1 - 3 Months |
279 | Build Dynamic User Interfaces (UI) for Websites | Google | User Experience, User Research, Web Design, Web Development Tools | 4.8 | https://www.coursera.org/learn/responsive-web-design-adobe-xd | 41,736 | This Specialization aims to make branding concepts accessible to every learner and to teach them to analyze and apply all the relevant concepts, using the broad and diverse toolkit of branding. It provides you with the necessary tools so that you are able to understand the brand behavior, understand the language of a brand and learn about the rational and emotional elements behind brands. It also attempts to make you understand the language of images. The amount of audiovisual content we receive today makes it hard for brands to break through that noise. It ends up teaching how to understand branding efforts in the context of customer experience.
We must think in a strategic manner when creating brands. Branding is about co-creation and conversation between the audiences, customers and users. What is relevant is how people out there perceive and live the brand. Brands are the story, the personality and the culture of an organization; the intangible elements that form it.
Applied Learning Project
At the end of each MOOC, you will find a capstone project. You will have the opportunity to put into practice everything learned during the course. First, you must develop a brand strategy and identity for a restaurant in Menorca. In addition, you will have to create a content strategy plan, which includes the brand strategy and target audience, the story behind it, the platforms what you will use to communicate this message and finally the concept and treatment of this story. You will also have to produce a creative pitch for the rebranding of an existing brand; you will have to build it up as if you were going to expose this pitch to the client, the brand itself. Finally, you will deliver a customer journey to understand the stages of the interaction of the brand department with the product or service the brand provides to the customers.
| 2.9K | Beginner | Course | 1 - 3 Months |
280 | Introduction to Discrete Mathematics for Computer Science | University of California San Diego | Mathematics, Problem Solving, Mathematical Theory & Analysis, Algorithms, Critical Thinking, Graph Theory, Combinatorics, Computational Thinking, Probability & Statistics, Computer Programming, Python Programming, Computational Logic, General Statistics, Theoretical Computer Science, Probability Distribution, Strategy, Creativity, Experiment, Calculus, Game Theory, Visualization (Computer Graphics), Cryptography, Sales | 4.5 | https://www.coursera.org/specializations/discrete-mathematics | 87,314 | Get started with your DevOps journey with this beginner-friendly course! DevOps skills are high in demand and expected to be one of the fastest-growing skills in the software industry. This course is designed to be a first step in obtaining those valuable skills.
This self-paced introductory course explores DevOps as a cultural movement. It describes the business case for DevOps, and covers its essentials. This course teaches new ways of thinking, working, organizing, and measuring to fully realize the benefits of DevOps. By applying DevOps practices, you will be able to build better products for your users.
You will learn how breaking down silos and organizing developers and operators into single cross-functional teams is necessary for truly adopting DevOps. Having everyone contributing and everyone being responsible for success is at the heart of DevOps. You will see how building a culture of shared responsibility and transparency is the foundation of every high-performing DevOps teams.
You’ll learn how you can use cloud native architecture to build resilience in your products and learn about helpful DevOps tools like horizontal scaling and independently deployable microservices. You will explore how Agile Methodologies like Scrum are crucial to DevOps as well as learn about Continuous Integration and Continuous Delivery (CI/CD), which enables frequent deployments and working as a team to create high-quality code.
This course concludes with case studies about DevOps-based scenarios, which you will analyze and relate to DevOps concepts learnt throughout this course.
This course is designed for those new to DevOps as well as those looking to increase their current knowledge of DevOps.
| 3.4K | Beginner | Specialization | 3 - 6 Months |
281 | Python Programming Fundamentals | Duke University | Algorithms, Computer Programming, Problem Solving, Python Programming | 4.1 | https://www.coursera.org/learn/python-programming-fundamentals | 4,889 | This introductory course is designed for beginners and individuals with limited programming experience who want to embark on their software development or data science journey using Python. Throughout the course, learners will gain a solid understanding of algorithmic thinking, Python syntax, code testing, debugging techniques, and modular code development--essential skills for a successful career in software engineering, development, or data science.
By the end of this course, you will learn to:
- Gain a stepwise approach to problem-solving using algorithms and programming logic.
- Apply common functions, conditional statements, and loops to build Python scripts and programs.
- Work with the VS Code programming environment to enhance coding proficiency.
- Use testing and debugging strategies to ensure code reliability.
- Perform logical and mathematical operations on datasets.
In the final week of the course you will apply your new algorithm design and programming skills to a data analysis problem: analyzing heart rate data.
| 11 | Beginner | Course | 1 - 4 Weeks |
282 | Epidemiology in Public Health Practice | Johns Hopkins University | Epidemiology, Data Analysis, Data Visualization, Problem Solving, Estimation | 4.7 | https://www.coursera.org/specializations/professional-epidemiology | 59,402 | Wharton's Entrepreneurship Specialization covers the conception, design, organization, and management of new enterprises. This five-course series is designed to take you from opportunity identification through launch, growth, financing and profitability. With guidance from Wharton's top professors, along with insights from current Wharton start-up founders and financiers, you'll develop an entrepreneurial mindset and hone the skills you need to develop a new enterprise with potential for growth and funding, or to identify and pursue opportunities for growth within an existing organization.
| 4.2K | Beginner | Specialization | 3 - 6 Months |
283 | Foundations of Data Structures and Algorithms | University of Colorado Boulder | Algorithms, Theoretical Computer Science, Data Structures, Computer Programming, Graph Theory, Problem Solving, Computational Logic, Computational Thinking, Mathematical Theory & Analysis, Mathematics, Applied Mathematics, Python Programming | 4.6 | https://www.coursera.org/specializations/boulder-data-structures-algorithms | 75,444 | This is the first of seven courses in the Google Advanced Data Analytics Certificate, which will help develop the skills needed to apply for more advanced data professional roles, such as an entry-level data scientist or advanced-level data analyst. Data professionals analyze data to help businesses make better decisions. To do this, they use powerful techniques like data storytelling, statistics, and machine learning. In this course, you’ll begin your learning journey by exploring the role of data professionals in the workplace. You’ll also learn about the project workflow PACE (Plan, Analyze, Construct, Execute) and how it can help you organize data projects.
Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your career.
Learners who complete the seven courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate.
By the end of this course, you will:
-Describe the functions of data analytics and data science within an organization
-Identify tools used by data professionals
-Explore the value of data-based roles in organizations
-Investigate career opportunities for a data professional
-Explain a data project workflow
-Develop effective communication skills
| 393 | Advanced | Specialization | 3 - 6 Months |
284 | Design a User Experience for Social Good & Prepare for Jobs | Google | User Experience, Social Media, User Research, Web Design | 4.8 | https://www.coursera.org/learn/ux-design-jobs | 27,902 | In the fourth course of Machine Learning Engineering for Production Specialization, you will learn how to deploy ML models and make them available to end-users. You will build scalable and reliable hardware infrastructure to deliver inference requests both in real-time and batch depending on the use case. You will also implement workflow automation and progressive delivery that complies with current MLOps practices to keep your production system running. Additionally, you will continuously monitor your system to detect model decay, remediate performance drops, and avoid system failures so it can continuously operate at all times.
Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles to help you develop production-ready skills.
Week 1: Model Serving Introduction
Week 2: Model Serving Patterns and Infrastructures
Week 3: Model Management and Delivery
Week 4: Model Monitoring and Logging
| 3K | Beginner | Course | 1 - 3 Months |
285 | Learn to Program: The Fundamentals | University of Toronto | Computer Programming, Python Programming, Computational Logic, Problem Solving, Programming Principles, Computer Programming Tools, Critical Thinking, Computational Thinking, Algorithms, Process Analysis | 4.7 | https://www.coursera.org/learn/learn-to-program | 421,737 | Behind every mouse click and touch-screen tap, there is a computer program that makes things happen. This course introduces the fundamental building blocks of programming and teaches you how to write fun and useful programs using the Python language.
| 6.3K | Beginner | Course | 1 - 3 Months |
286 | Autodesk Certified Professional: AutoCAD for Design and Drafting Exam Prep | Autodesk | Computer Graphics, Computer Graphic Techniques, Design and Product, Feature Engineering, Research and Design, Software Architecture, Software Engineering, User Experience Design, Visualization (Computer Graphics) | 4.7 | https://www.coursera.org/learn/autodesk-autocad-design-drafting | 54,405 | The demand placed on today’s engineers goes above and beyond the job description. Products have become complex and engineers are more frequently asked to leave specialized roles and to take on a wide variety of tasks that are beyond their traditional responsibilities. These tasks are centered on form, fit, and function. Engineers need to factor in broader concerns such as cost, procurement, sustainability, manufacturability, and serviceability. Their role has moved away from an individual responsibility to working as part of a collaborative engineering team, executing tradeoffs with both engineering and business stakeholders to meet project goals. These trends have forced today’s engineers to broaden their skillset to be successful.
Engineers today are required to be on the cutting edge of design innovation. This means not only understanding engineering principles that govern the title and role, but also perfecting the toolsets needed to design and develop products.
Through this specialization, you’ll learn the foundations of applying computer aided design (CAD), computer aided engineering (CAE), and manufacturing principles while developing your technical skills within Autodesk Fusion 360.
Looking for Autodesk Fusion 360 certification prep courses? Check out additional learning resourcesOpens in a new tab to help you uplevel your skills.
| 2.5K | Advanced | Course | 1 - 4 Weeks |
287 | Site Reliability Engineering: Measuring and Managing Reliability | Google Cloud | DevOps, Software Engineering, Strategy and Operations, Decision Making, Leadership and Management, Operational Analysis, Performance Management, User Experience, Problem Solving, Critical Thinking | 4.5 | https://www.coursera.org/learn/site-reliability-engineering-slos | 48,390 | Service level indicators (SLIs) and service level objectives (SLOs) are fundamental tools for measuring and managing reliability. In this course, students learn approaches for devising appropriate SLIs and SLOs and managing reliability through the use of an error budget.
| 864 | Intermediate | Course | 1 - 3 Months |
288 | Data Mining | University of Illinois at Urbana-Champaign | Machine Learning, Data Analysis, Data Mining, Machine Learning Algorithms, Natural Language Processing, Probability & Statistics, Data Visualization, Bayesian Statistics, General Statistics, Probability Distribution, Statistical Programming, Algorithms, Mathematical Theory & Analysis, Python Programming, Data Visualization Software | 4.5 | https://www.coursera.org/specializations/data-mining | 57,016 | 87% of Google Cloud certified users feel more confident in their cloud skills. This program provides the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Data EngineerOpens in a new tab certification.
Here's what you have to do
1) Complete the Coursera Data Engineering Professional Certificate
2) Review other recommended resources for the Google Cloud Professional Data Engineer certificationOpens in a new tab exam
3) Review the Professional Data Engineer exam guideOpens in a new tab
4) Complete Professional Data Engineer Opens in a new tabsample questions
5) RegisterOpens in a new tab for the Google Cloud certification exam (remotely or at a test center)
Applied Learning Project
This professional certificate incorporates hands-on labs using Qwiklabs platform.These hands on components will let you apply the skills you learn. Projects incorporate Google Cloud products used within Qwiklabs. You will gain practical hands-on experience with the concepts explained throughout the modules.
Applied Learning Project
This Specialization incorporates hands-on labs using our Qwiklabs platform.
These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as BigQuery, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.
| 2.9K | Intermediate | Specialization | 3 - 6 Months |
289 | Excel/VBA for Creative Problem Solving | University of Colorado Boulder | Spreadsheet Software, Computer Programming, Problem Solving, Microsoft Excel, Programming Principles, Data Analysis, Critical Thinking, Algorithms, Computer Programming Tools, Computational Logic, Computational Thinking | 4.8 | https://www.coursera.org/specializations/excel-vba-creative-problem-solving | 72,468 | As data becomes the modern currency, so the ability to quickly and accurately analyse data has become of paramount importance. Therefore, data analytics and visualization are two of the most sought after skills for high paying jobs with strong future growth prospects. According to an IBM reportOpens in a new tab, the Excel tools for data analytics and visualization are among the top 10 competencies projected to show double-digit growth in their demand. This course will help you develop your analytical and visualization skills so that you not only improve your current work performance but also expand your future job prospects. For those in business and data analysis who want to master advanced Excel and beginner Power BI
, that will add an asset to your employability portfolio.
Upon completing this specialization, you will be able to bring data to life using advanced Excel functions, creative visualizations, and powerful automation features. These courses will equip you with a comprehensive set of tools for transforming, linking, and analysing data. You will master a broad range of charts and create stunning interactive dashboards. Finally, you will explore a new dimension in Excel with PowerPivot, Get and Transform, and DAX. Harnessing the power of an underlying database engine, we will remove the 1,048,576 row limitation, completely automate data transformation, create data models to effectively link data, and open the gateway to Power Business Intelligence.
Applied Learning Project
Working with datasets similar to those typically found in a business, you will use powerful Excel tools to wrangle the data into shape, create useful visualizations, and prepare dashboards and report to share your results. You will learn to create a data workflow to automate your analysis and make the results flexible and reproducible.
| 4.6K | Beginner | Specialization | 3 - 6 Months |
290 | Excel Skills for Data Analytics and Visualization | Macquarie University | Business Analysis, Spreadsheet Software, Data Analysis, Data Analysis Software, Data Visualization, Microsoft Excel, Data Management, Exploratory Data Analysis, Statistical Visualization, Data Model, Data Structures, Data Visualization Software, Database Design, Interactive Design, Plot (Graphics), Visual Design, Big Data, Power BI | 4.8 | https://www.coursera.org/specializations/excel-data-analytics-visualization | 145,303 | As data becomes the modern currency, so the ability to analyse the data quickly and accurately has become of paramount importance. Excel with its extraordinarily broad range of features and capabilities is one of the most widely used programs for doing this. In the first course of our Excel Skills for Data Analysis and Visualization Specialization, you will learn the fundamentals of Excel for data analysis. When you have completed the course, you will be able to use a range of Excel tools and functions to clean and prepare data for analysis; automate data analysis with the help of Named Ranges and Tables; and use logical and lookup functions to transform, link and categorise data.
This course will enable you to build a strong foundation in the fundamentals, helping you to be more efficient in your day-to-day and developing the necessary skills to work with the more advanced techniques used in later courses. To make the content easy to relate to and to personalize the learning experience, we are going to follow Zara's journey through the course. Who is Zara? Well, she is no-one and everyone. You will find that Zara's trials and tribulations sound familiar, and together with Zara, you will develop your Excel skills along the way — and, importantly, have some fun doing it.
The Excel Skills for Data Analytics and Visualization courses are the sequel to one of most successful specializations on Coursera, Excel Skills for Business, which has attracted hundreds of thousands of learners and top ratings. Transform your skills, your confidence, and your opportunities by adding this new set of skills to your repertoire.
| 4.8K | Intermediate | Specialization | 3 - 6 Months |
291 | Modern Robotics: Mechanics, Planning, and Control | Northwestern University | Mathematics, Linear Algebra, Algebra, Geometry, Computer Programming, Mathematical Theory & Analysis, Computer Programming Tools, Matlab, Python Programming, Algorithms, Critical Thinking, Problem Solving, Differential Equations, Graph Theory, Spatial Analysis, Planning, Supply Chain and Logistics | 4.7 | https://www.coursera.org/specializations/modernrobotics | null | Embark on an exciting journey into the thriving realm of project management and prepare for a promising career ahead. In this program, you'll gain invaluable skills, knowledge, and a robust portfolio that will give you a competitive edge in the job market as an entry-level project manager. No prior experience or expertise required.
Working collaboratively across teams, project managers deftly manage risks, establish effective communication channels with stakeholders, and provide guidance to team members. In our rapidly evolving and dynamic world, the demand for skilled project managers who can navigate these complexities and ensure project success has never been greater.
Throughout this program, you'll learn not only the methodology and language of project management, you'll master the essential processes and tools necessary to set up projects for success.
By the program's conclusion, you'll possess a diverse portfolio of projects that showcases your proficiency. Your portfolio will include project timelines, roles and responsibility matrices, stakeholder management tools, and communication plans.
Furthermore, our program is designed to prepare you for the attainment of esteemed project management certifications, such as the prestigious CAPM certification from PMI. With our comprehensive curriculum and expert guidance, you'll be well-prepared to take that next important step in your career journey.
Applied Learning Project
This Specialization has a strong emphasis on applied learning and includes a series of hands-on activities. In these exercises, you’ll take the theory and skills you’ve gained and apply it to real-world scenarios. From building a timeline, tracking issues, or setting up a communications plan, we’ll provide realistic scenarios you might encounter as a project manager. Compiling these tools together will provide you with a portfolio showcasing your experience to help you shine for potential employers.
The final course in this program is a capstone course that was developed based on the CAPM exam. It will test your learnings about project management and help prepare you for taking the official CAPM exam down the road.
| 1.1K | Intermediate | Specialization | 3 - 6 Months |
292 | Data Visualization with Python | IBM | Python Programming, Computer Programming, Data Analysis, Data Visualization | 4.5 | https://www.coursera.org/learn/python-for-data-visualization | 320,613 | Computer science legend Donald Knuth once said “I don’t understand things unless I try to program them.” We also believe that the best way to learn an algorithm is to program it. However, many excellent books and online courses on algorithms, that excel in introducing algorithmic ideas, have not yet succeeded in teaching you how to implement algorithms, the crucial computer science skill that you have to master at your next job interview. We tried to fill this gap by forming a diverse team of instructors that includes world-leading experts in theoretical and applied algorithms at UCSD (Daniel Kane, Alexander Kulikov, and Pavel Pevzner) and a former software engineer at Google (Neil Rhodes). This unique combination of skills makes this Specialization different from other excellent MOOCs on algorithms that are all developed by theoretical computer scientists. While these MOOCs focus on theory, our Specialization is a mix of algorithmic theory/practice/applications with software engineering. You will learn algorithms by implementing nearly 100 coding problems in a programming language of your choice. To the best of knowledge, no other online course in Algorithms comes close to offering you a wealth of programming challenges (and puzzles!) that you may face at your next job interview. We invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs.
Applied Learning Project
The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco 1000 times faster than the shortest path algorithms you learn in the standard Algorithms 101 course! Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine.
| 11K | Intermediate | Course | 1 - 3 Months |
293 | Trading Strategies in Emerging Markets | Indian School of Business | Finance, Investment Management, Financial Analysis, Securities Trading, Accounting, Algorithms, Strategy, Financial Accounting, Market Analysis, Business Analysis, Statistical Analysis, Risk Management, Strategy and Operations, Account Management, Behavioral Economics, Decision Making, General Accounting, Market Research, Performance Management, Correlation And Dependence, Statistical Tests | 4.2 | https://www.coursera.org/specializations/trading-strategy | 61,143 | This Specialization equips individual investors and money managers with the skills required to develop their own trading strategies and test them. When you complete the Specialization, you’ll be ready to apply eight ready-made trading strategies, based on rigorous academic research, that have been shown to be. You’ll also be able to design your own trading strategy, back test it, and measure its performance.
Applied Learning Project
In the capstone project, the learners will be able to design a new trading strategy and evaluate it using the tools learned in the course. They will also be able to integrate it with the existing portfolio and also develop a plan to start a hedge fund.
| 2.6K | Beginner | Specialization | 3 - 6 Months |
294 | Deep Neural Networks with PyTorch | IBM | Human Learning, Machine Learning, Deep Learning, Python Programming, Artificial Neural Networks, Machine Learning Algorithms, Applied Machine Learning, Algorithms, Regression, Statistical Machine Learning | 4.4 | https://www.coursera.org/learn/deep-neural-networks-with-pytorch | 25,861 | DeFi and the Future of Finance is a four course learning experience. DeFi or Decentralized Finance is a new technology whereby users interact as peers with algorithms or smart contracts rather than through traditional intermediaries such as banks, brokerages or insurance companies. The technology has the potential to transform finance as we know it. It solves key problems in traditional finance such as lack of inclusion, inefficiency, opacity, centralized control and lack of interoperability.
The first course, DeFi Infrastructure, focuses on the historical evolution of decentralized finance as well as the problems that DeFi solves.
The second course, DeFi Primitives, deals with mechanics, supply and ownership, and loans and swaps.
The third course, DeFi Deep Dive, explores the leading protocols including MakerDAO, Compound, Aave, Uniswap and dYdX.
The fourth course, DeFi Risks and Opportunities, analyzes the key risks including smart contract risk, governance risk, scaling as well as regulatory issues. The final part of the course sketches a vision of finance in the future including the winners and the losers.
| 1.5K | Intermediate | Course | 1 - 3 Months |
295 | Learn English: Intermediate Grammar | University of California, Irvine | Writing, Communication | 4.8 | https://www.coursera.org/specializations/intermediate-grammar | 121,485 | This specialization covers common topics in intermediate grammar, such as perfect verb tenses and adjective clauses. It will also cover "tricky English" grammar topics that learners of English often find frustrating. The capstone will give you a chance to review all of the knowledge you've learned in the courses and create a multi-media "scrapbook" of grammar to keep with you after the specialization ends.
| 5.1K | Intermediate | Specialization | 3 - 6 Months |
296 | Introduction to Computer Science and Programming | University of London | Mathematical Theory & Analysis, Mathematics, Problem Solving, Algebra, Calculus, Computer Networking, Applied Mathematics, Critical Thinking, Theoretical Computer Science, Computer Programming, Javascript | 4.2 | https://www.coursera.org/specializations/introduction-computer-science-programming | 242,241 | Start your cloud computing journey with this self-paced introductory course! Whether you need general cloud computing knowledge for school or business, or you are considering a career change, this beginner-friendly course is right for you.
In this course you’ll learn about essential characteristics of cloud computing and emerging technologies supported by cloud. You’ll explore cloud service models, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Public, Private, and Hybrid deployment models.
Discover the offerings of prominent cloud service providers AWS, Google, IBM, Microsoft, and others, and review cloud computing case studies. Learn about cloud adoption, blockchain, analytics, and AI.
You will learn about the many components of cloud computing architecture including datacenters, availability zones, virtual machines, containers, and bare metal servers. You will also familiarize yourself with different types of cloud storage options, such as Object Storage.
You’ll gain foundational knowledge of emergent cloud trends and practices including Hybrid, Multicloud, Microservices, Serverless, DevOps, Cloud Native, Application Modernization, as well as learn about cloud security and monitoring. You’ll also explore cloud computing job roles and possible career paths and opportunities.
You will complete a number of labs and quizzes throughout this course to increase your understanding of course content. At the end of the course, you will complete a final project where you will deploy an application to Cloud using a serverless architecture, a valuable addition to your portfolio.
After this course, check out the related courses to help you towards your new career as a cloud engineer, full stack developer, DevOps engineer, cybersecurity analyst, and others.
| 1.4K | Beginner | Specialization | 3 - 6 Months |
297 | Leading Diverse Teams & Organizations | University of Michigan | Communication, Leadership and Management | 4.8 | https://www.coursera.org/learn/leading-diverse-teams-and-organizations | 79,013 | Meet Jim Barton, the new CEO of Santa Monica Aerospace. Jim's job won't be easy: the company's hemorrhaging cash, struggling to regain investors' trust after an accounting scandal, and striving to transform its culture to become a more global competitor. In this course, you’ll travel with Jim as he takes on leadership challenges ranging from strategy execution, to inspiring people, to maintaining an ethical approach. Experts agree that twentieth-century leadership practices are inadequate for the stormy twenty-first-century present. This provocative course equips you with the insights you'll need to rise with the occasion of a rapidly shifting business landscape.
The course is based on a book, Harder Than I Thought: Adventures of a 21st Century Leader, by Robert D. Austin, Richard L. Nolan, and Shannon O'Donnell, published by Harvard Business Review Press. Purchase of the book is optional. If you want more information about the book or wish to buy it, see https://hbr.org/product/harder-than-i-thought-adventures-of-a-twenty-first/an/10332-HBK-ENG or http://www.amazon.com/Harder-Than-Thought-Adventures-Twenty-First/dp/1422162591
After taking the course, you'll be able to:
o Enact your own personal leadership approach, derived from your ongoing evaluation of how Jim Barton has handled his leadership situation, as well as from established leadership concepts and frameworks;
o Avoid leadership actions that might have worked in the past, but are not suited to a newly challenging 21st century world;
o Navigate treacherous new 21st century leadership challenges, such as greater reliance on specialized workers or the need to respond to external scrutiny in an increasingly transparent world (and many more);
o Avoid "slippery slope" ethical failures, and think more clearly about the separation between public and private life for a 21st century leader.
| 346 | Beginner | Course | 1 - 4 Weeks |
298 | Introduction to Cyber Security | New York University | Security Engineering, Cyberattacks, Network Security, System Security, Security Strategy, Computer Networking, Security Software, Computer Security Models, Network Architecture, Strategy, Cryptography, Problem Solving, Software Security, Algorithms, Computer Security Incident Management, Critical Thinking, Computational Thinking, BlockChain, Cloud Computing, Mobile Security | 4.7 | https://www.coursera.org/specializations/intro-cyber-security | 206,926 | This course provides a brief introduction to the fundamentals of finance, emphasizing their application to a wide variety of real-world situations spanning personal finance, corporate decision-making, and financial intermediation. Key concepts and applications include: time value of money, risk-return tradeoff, cost of capital, interest rates, retirement savings, mortgage financing, auto leasing, capital budgeting, asset valuation, discounted cash flow (DCF) analysis, net present value, internal rate of return, hurdle rate, payback period.
| 3.4K | Beginner | Specialization | 3 - 6 Months |
299 | Investment and Portfolio Management | Rice University | Finance, Investment Management, Financial Analysis, Leadership and Management, Risk Management, Behavioral Economics, Probability & Statistics, Market Analysis, Mathematics, Statistical Tests, Business Psychology, Mathematical Theory & Analysis, Probability Distribution | 4.5 | https://www.coursera.org/specializations/investment-portolio-management | 37,314 | null | 2.5K | Beginner | Specialization | 3 - 6 Months |
300 | The Pronunciation of American English | University of California, Irvine | Communication | 4.8 | https://www.coursera.org/specializations/american-english-pronunciation | 36,409 | This specialization is intended for anyone who wants to achieve clearer, more understandable pronunciation of American English to help them communicate more easily and effectively. Through these four courses, you will learn about and practice consonant and vowel sounds, along with aspects of the “music” of English, including word stress, intonation, and connected speech. Clearer pronunciation leads to success in business, education, or any field where English is required.
Applied Learning Project
Learners will improve their pronunciation by practicing realistic dialogues and other interactive exercises. They will put their new knowledge and skills to use by analyzing a passage of authentic spoken English and preparing and recording a reflection on their own learning, with the aim of improving their ability to be understood and also to understand others in real-life oral communication.
| 979 | Beginner | Specialization | 3 - 6 Months |
301 | Natural Language Processing with Attention Models | DeepLearning.AI | Artificial Neural Networks, Deep Learning, Natural Language Processing, Machine Learning, Python Programming, Statistical Programming | 4.4 | https://www.coursera.org/learn/attention-models-in-nlp | 131,516 | If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.
In Course 3 of the deeplearning.ai TensorFlow Specialization, you will build natural language processing systems using TensorFlow. You will learn to process text, including tokenizing and representing sentences as vectors, so that they can be input to a neural network. You’ll also learn to apply RNNs, GRUs, and LSTMs in TensorFlow. Finally, you’ll get to train an LSTM on existing text to create original poetry!
The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.
| 949 | Intermediate | Course | 1 - 4 Weeks |
302 | Statistics with Python | University of Michigan | General Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Statistical Tests, Basic Descriptive Statistics, Probability Distribution, Python Programming, Statistical Visualization, Statistical Programming, Mathematics, Plot (Graphics), Regression, Estimation, Correlation And Dependence, Data Visualization, Exploratory Data Analysis, Computer Programming, Bayesian Statistics | 4.6 | https://www.coursera.org/specializations/statistics-with-python | 77,446 | This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures. Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods taught to them.
Applied Learning Project
The courses in this specialization feature a variety of assignments that will test the learner’s knowledge and ability to apply content through concept checks, written analyses, and Python programming assessments. These assignments are conducted through quizzes, submission of written assignments, and the Jupyter Notebook environment.
| 3.1K | Beginner | Specialization | 1 - 3 Months |
303 | From Data to Insights with Google Cloud | Google Cloud | Google Cloud Platform, Cloud Computing, SQL, Databases, Data Analysis, Big Data, Cloud Platforms, Data Management, Exploratory Data Analysis, Cloud Storage, Data Analysis Software, Extract, Transform, Load, Data Model, Machine Learning, Applied Machine Learning, Human Learning, Data Visualization, Machine Learning Software, Database Theory | 4.6 | https://www.coursera.org/specializations/from-data-to-insights-google-cloud-platform | null | Data science is projected to create 11.5 1 million global job openings by 2026 and offers many of the remote 2 job opportunities in the industry.
Prepare for a new career in this high-demand field with a Professional Certificate from Fractal Analytics. Whether you're a recent graduate seeking a rewarding career shift or a professional aiming to upskill, this program will equip you with the essential skills demanded by the industry.
This curriculum is designed with a problem-solving approach at the center to equip and enable you with the skills, required to solve data science problems, instead of just focusing on the tools and applications.
Through hands-on courses you'll master Python programming, harness the power of machine learning, cultivate expertise in data manipulation, and build understanding of cognitive factors affecting decisions. You will also learn the direct application of tools like SQL, PowerBI, and Python to real-world scenarios.
Upon completion, you will earn a Professional Certificate, which will help to make your profile standout in your career journey.
Fractal Data Science Professional Certificate is one of the preferred qualifications for entry-level data science jobs at Fractal. Complete this certificate to make your profile standout from other candidates while applying for job openings at Fractal.Please read FAQ’s for T&C’s
1 ETHRWorld(Nov,21)
2 remote.com/blog/remote-job-roles
Applied Learning Project
Learners will be able to apply structured problem-solving techniques to dissect and address complex data-related challenges encountered in real-world scenarios and utilize SQL proficiency to retrieve and manipulate data and employ data visualization skills using Power BI to communicate insights. Becoming experts at Python programming to manipulate and analyze data. Learners will implement machine learning algorithms to create predictive models for diverse applications. And create compelling data stories to influence and inform your audience and master the art of critically analyzing data while making decisions and recommendations.
| 4.6K | Beginner | Specialization | 3 - 6 Months |
304 | GPU Programming | Johns Hopkins University | Python Programming, Machine Learning, Computer Programming, Artificial Neural Networks, C Programming Language Family, C++ Programming, Algorithms, Data Science, Linear Algebra | 2.8 | https://www.coursera.org/specializations/gpu-programming | 43,857 | This Specialization is for those new to mapping and GIS, as well as anyone looking to gain a better understanding of how it all works and why. You will learn practical skills that can be applied to your own work using cutting-edge software created by Esri Inc., the world's leading GIS company and our industry partner.
PLEASE NOTE: THE SOFTWARE IS NO LONGER PROVIDED WITH THIS COURSE. YOU WILL HAVE TO OBTAIN IT ON YOUR OWN.
Applied Learning Project
The courses are based on the idea that you will get the most out of the learning experience if you can tailor your work to your own interests. You will learn how to create GIS data, how to find and evaluate data found online, how to design an effective map, and how to filter data and analyze spatial relationships, and how to work with satellite imagery. In the capstone course, you will apply everything you have learned by either building a portfolio of your work through "mini projects" or planning and executing one large project. Your capstone work will then be presented in a web-based story map that you can share with your friends, family, and colleagues.
| 72 | Intermediate | Specialization | 3 - 6 Months |
305 | Fundamentals of Machine Learning for Healthcare | Stanford University | Critical Thinking, Machine Learning | 4.8 | https://www.coursera.org/learn/fundamental-machine-learning-healthcare | 17,164 | This specialization is designed to equip students with the basic concepts and vocabulary of immunology. The goal is to provide students from different backgrounds with a fundamental understanding of immunology and the ability to appreciate and analyze new developments in immunological therapies designed for the treatment of disease.
Applied Learning Project
In the Fundamentals of Immunology Specialization, you will learn the basics of innate immunity, including complement, and its role in inflammation and activation of adaptive immunity.
The development of B cells and the production and improvement of antibodies.
The development of Th cells and their roles in promoting both immune responses and tolerance.
The role of the Major Histocompatibility Proteins in alerting T cells and their role in the success of organ and tissue transplants.
The mechanisms whereby cytotoxic T cells and natural kill cells recognize rogue-self cells and prod them into apoptosis.
The principles of chemical communication among immune cells.
Some example of how the immune system can cause problems and how we deal with these issues.
| 365 | Beginner | Course | 1 - 3 Months |