Ratings and Reviews for Introduction to Data Science in Python

Assignments of the course are more educative than video contents . Because videos include short and insufficent information about topics.

the pace and speed of teaching is fast according to me.

good

This course was amazing!!

This course equips someone who knows programming with an into to data science, however you need to have experience in programming, otherwise take a more introductory course on Python programming before enrolling to this class.

Great course, interactive videos and auto validated submissions!

need to give more examples on specific topics for better understanding.

This course needs more practicing session. There are a lot of lecture but not enough practice.

Really great course !

Completed the first course but probably won't continue. U of M auto-grader uses an old version of Python (3.6) and an ancient version of Pandas (0.20.2), so after you code everything up in 3.7.7, you have to go back and try to get it to work in 3.6 and old Pandas. This just comes down to how you want to spend your time in life: learning and solving problems or messing around with an old auto-grader. This is a total waste of time and effort. There is no reason to spend time doing this just to appease the auto-grader. I was considering the Data Science Masters program, too, but I want to learn, not fight old versions of Python and Pandas. Good to know now, I guess! What a shame. This series could have been great!