Here are some of the most popular courses on Coursera, based on historical data:

1. “Machine Learning” by Andrew Ng (Stanford University)
2. “Learning How to Learn: Powerful Mental Tools to Help You Master Tough Subjects” by Dr. Barbara Oakley (University of California, San Diego)
3. “Programming for Everybody (Getting Started with Python)” by Charles Severance (University of Michigan)
4. “Python for Data Science and AI” by IBM
5. “Deep Learning Specialization” by Andrew Ng (deeplearning.ai)
6. “The Science of Well-Being” by Laurie Santos (Yale University)
7. “Financial Markets” by Robert Shiller (Yale University)
8. “Introduction to Data Science in Python” by Christopher Brooks, Maddy Johnston, and others (University of Michigan)
9. “Introduction to Psychology” by Paul Bloom (Yale University)
10. “Google IT Support Professional Certificate” by Google

Please keep in mind that these courses were popular at the time of my last update, and the popularity of courses can vary. It’s always a good idea to visit Coursera’s website to explore their current catalog and find the most up-to-date information on popular courses.