Ratings and Reviews for Introduction to Data Science in Python

Good materials but video doesn't help much

course too fast, they don't explain anything, just run through example. The worst course I have taken on coursera.

Great class!

It took a lot of self-study, practice and much more hard work than expected at start of course. But at the same time it increased my knowledge manifold. Worth it!

Best specialization in Coursera.

I really appreciated this course. The assignments are excellent, but they took me more time than the announced. The ability to submit your assignments and have them automatically corrected, even if you are note paying for the certificate, is great. I just think that maybe it is a "too hard" introduction. You must already know python, and, I'd say, should have already studied a little of pandas. The explanation of pandas is really quick, but full of valuable real world tips. For the assignments you'll need a lot of pandas knowledge that isn't the videos, so prepare for a lot of searching in StackOverflow and in the docs. I believe it is purposeful, so the assignments mimics a real world problem.

Great course to begin your data science career.

The topics covered in the course are certainly important for anyone interested in using Python for Data Science, but sadly, there is only really basic information about each topic taught in the videos. In the labs, there is heavy focus on "self learning" (basically, the instructor encourages you to use StackOverflow and other resources to figure out things that were intentionally not taught in the course). While it's interesting that the problems have a very real-world nature to them (including searching the web to help you find answers to things), if I wanted to learn the tools taught in this course that way, I wouldn't have enrolled in this, and just got a good book and practiced myself independently. Also puzzling is that there are weird "discussion" segments that have no relevance to any of the topics taught. One moment you are learning about pandas dataframes, and the next, it's asking you for a 90 word opinion on data science ethics. This is somewhat ironic given the otherwise very practical/applied nature of the course. Not relevant at all to a working professional. One other note: as I write this, for the past few days, no students were able to get their assignments graded, since the auto-grader was broken, and there are multiple reports of this in the forums. It's puzzling the staff let this problem persist for days with no ETA or acknowledgement of the issue.

Chris Brooks is a fantastic instructor. The lectures are clear and engaging.

Wonderful! I learned a lot doing my homework!