Most Popular MOOCs of 2017 on Coursera & EdX

[Carolyn]

Based on information provided by Coursera and EdX, here are their most popular MOOCs of 2017:

Coursera: Most Popular Courses in 2017*

1. Machine Learning – Stanford University
2. Neural Networks and Deep Learning – deeplearning.ai
3. Learning How to Learn: Powerful Mental Tools to Help You Master Tough Subjects – University of California, San Diego
4. Introduction to Mathematical Thinking – Stanford University
5. Bitcoin and Cryptocurrency Technologies – Princeton University
6. Programming for Everybody (Getting Started with Python) – University of Michigan
7. Algorithms, Part I – Princeton University
8. English for Career Development – University of Pennsylvania
9. Neural Networks for Machine Learning – University of Toronto
10. Financial Markets – Yale University

Coursera: Most Popular Specializations in 2017*

1. Deep Learning - deeplearning.ai | 5 courses
2. Digital Marketing - University of Illinois at Urbana-Champaign | 7 courses
3. Python for Everybody - University of Michigan | 5 courses
4. Data Science - Johns Hopkins University | 10 courses
5. Applied Data Science with Python - University of Michigan | 5 courses
6. Object Oriented Programming in Java - University of California, San Diego, Duke University | 4 courses
7. Business Foundations - University of Pennsylvania | 6 courses
8. Excel to MySQL: Analytic Techniques for Business - Duke University | 5 courses
9. Functional Programming in Scala - École Polytechnique Fédérale de Lausanne | 5 courses
10. Achieving Personal and Professional Success - University of Pennsylvania | 4 courses

*Based on average daily enrollments in 2017.

Coursera's Top-Rated Specializations of 2017
Top-Rated in Business

1. Entrepreneurship - The Wharton School of the University of Pennsylvania | 5 courses
2. Investment Management - University of Geneva | 5 courses
3. Construction Management - Columbia University | 4 courses

Top-Rated in Data Science

1. Deep Learning - deeplearning.ai | 5 courses
2. Geographic Information Systems (GIS) - University of California, Davis | 5 courses
3. Machine Learning - University of Washington | 4 courses

Top-Rated in Computer Science

1. Fundamentals of Computing - Rice University | 7 courses
2. Algorithms - Stanford University | 4 courses
3. Python for Everybody - University of Michigan | 5 courses

Top-Rated in Humanities & Social Science

1. TESOL Certificate, Part 1: Teach English Now! - Arizona State University | 4 courses
2. Foundations of Positive Psychology - University of Pennsylvania | 5 courses
3. Creative Writing - Wesleyan University | 5 courses

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Top edX Courses in 2017​

Based on feedback from edX learners

1. TOEFL® Test Preparation: The Insider’s Guide - ETSx (Self-Paced)
2. IELTS Academic Test Preparation - University of Queensland, Australia (Self-Paced)
3. Essential Statistics for Data Analysis using Excel - Microsoft (Starts January 1, 2018)
4. Basic Spanish 1: Getting Started - UPValenciaX (Self-Paced)
5. The Science of Happiness - University of California, Berkeley (Starts January 9, 2018)
6. English Composition - Arizona State University (Starts January 8, 2018)

Based on feedback from edX staff

1. The Architectural Imagination - HarvardX (Self-Paced)
2. HTML5 and CSS Fundamentals - W3Cx (Starts January 1, 2018)
3. Introduction to Linux - LinuxFoundationX (Self-Paced)
4. Introduction to Project Management - University of Adelaide (Self-Paced)
5. Introduction to Java Programming – Part 1 - The Hong Kong University of Science and Technology (Self-Paced)
6. Communication Skills for Bridging Divides - CatalystX (Starts January 9,2018)

Top “hot skills” courses on edX to help you land an in-demand job in 2018

1. Introduction to Computer Science and Programming Using Python - MITx (Self-Paced)
2. Artificial Intelligence (AI) - Columbia University (Starts January 29, 2018)
3. Cybersecurity Fundamentals - RITx (Starts January 9, 2018)
4. Machine Learning - Columbia University (Starts January 29, 2018)
5. Robotics: Fundamentals - University of Pennsylvania (Self-Paced)