Ratings and Reviews for Introduction to Data Science in Python

Nothing is spoon-fed and you are expected to self study but that is a positive since it is the only way properly learn. It might be a little fast for new comers but it has a great pacing if you already have familiarity with the basic concepts.

This course was challenging, but very rewarding in the end. I learned many skills that will help me in by job and am interested to learn more in the future courses.

The material in this course was quite valuable. I learned a lot and continue to use the knowledge daily. Thanks!

Awesome

This course really challenges you to get in there and deeply learn pandas. I am very happy with the course

Awesome course material and well structured learning path. I loved the entirety of the course and hope to continue to learn more from Coursera. Thank you Coursera and also University of Michigan.

I am an undergraduate Physics student who intends to delve into the remarkable field of Data Science and Machine learning. I think this course is an absolute beauty to beginners like me. I am glad that I found this course. The lectures are wonderfully delivered and each and every concept is nicely explained.

Awful. The examples are boring, pace is slow, and instruction is little more than "go to StackExchange." Most course 'discussion' involves the clunky, bug-riddled auto-grader. Don't waste your time.

It's very useful specially for new learner because it only dives into the part of python that data science need. I strongly recommend to anyone even if you don't have experience in programming before.

great class to start journey to python data science. the exercise can be more clearly defined but, discussion helped.