Ratings and Reviews for Introduction to Data Science in Python

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.

I liked the first course more. I think that the content was not explained as well as Dr. Chuck did in the introductory course.

Course has a great amount of information that is wonderful, but the instructional videos are less and less helpful as time goes on, and the autograder is the devil.

Good introduction to Python, with a heavy focus on Pandas. Definitely worth doing if you're struggling a bit with the Pandas documentation. The course assessment were a bit of an up-hill battle for me, but I feel more skilled for completing them, so I would encourage others to fully engage as much as possible. Same with the readings that are set. In fact, I'd like to see more recommended readings, along the lines of David Donoho's paper. The course uses Jupyter notebooks for assessments, which was refreshing, and has in-video code to work-through which was also much appreciated. All-in-all, take the course if you're interested in Python and Pandas. It will eat your time quite a bit to do the assessments if you're like me, so be prepared for that.