Ratings and Reviews for Introduction to Data Science in Python

Diffcult but useful！The basics of all other four courses!

High-quality lectures and exercises. True to an "Intermediate" course, trusts that the learner will figure thing out themselves and doesn't spent extraneous time hand-holding.

Lecturer just regurgitates code out loud (completely worthless). You can't get answers back without paying for the course (fine but it would have been nice to mention that up front in the audit) so you get little feedback as you might want it. Many of the questions/code is impossible using only the python described in the course. I wanted to take this as a python refresher and it was a complete waste of time. The subject matter is perfect! But execution is abysmal.

Awesome course for anyone looking to venture into the field of Data Science. The instructor puts forth various concepts lucidly and concisely without any irrelevant extraneous details. Beware though, if you are pursuing this for the sake of learning statistics, you might be disapppointed. The instructor adopts more of a tool-based approach teaching you pandas to solve your problems the way you want to. That said, kudos to Coursera and U Michigan for putting this course together.

A great introduction course of getting familiar with pandas.

Good Course

Too much bug but the forum is helpful

This course is a high level and precise introduction to the python programming skills necessary for any data analysis exercise. It is adequately paced which is great for anyone who has some prior knowledge of python. The assignments are particularly challenging which I thoroughly enjoyed. The lectures would effectively introduce a concept and the assignment to follow would test the understanding thoroughly - a structure which in my opinion worked great!

good

Lessons are not helpful if you start from 0 and want to learn. Had to search everything on my own. So what' s the purpose of them? Too little details and assignments too unclear. I came here to learn not to show that I already know.