This course teaches basic Python programming skills through data analysis. There is no complex math in the course, the programs are generally quite short, and the workload is no more than a few hours per week. By the time you complete the course, you will understand and be able to read, parse, and manipulate data using Python. The course is also being packaged as a "remixer kit" to be used by instructors and/or learners who want to remix or change any of these materials.
Course Audience
This course has no prerequisites. Literally anyone can and everyone should take this course.
What You Will Learn
Upon completing this course you will have basic Python programming skills. Hopefully you will like programming well enough to take another course in programming or web development.
If you wish to learn Python 3, you can get enrolled to our Programming Made Easy with Python for FREE.
Charles is a Clinical Associate Professor and teaches in the School of Information at the University of Michigan. He works on Open Source projects building free educational technology like Sakai and Tsugi. He is also active in the movement to build, share, and remix Open Educational Resources (OER) and is a long-time advocate of freely sharing educational resources to empower teachers.
Charles teaches six popular MOOCs to students worldwide on the Coursera platform: Internet History, Technology, and Security and the Programming for Everybody Specialization. Charles has a B.S., M.S., and Ph.D. in Computer Science from Michigan State University and his hobbies include off-road motorcycle riding, karaoke and playing hockey.