Ratings and Reviews for Introduction to Data Science in Python

I have learn a lot by taking this course not from the instructor or TA but through stackoverflow. There is clearly a gap between the video and the assignments. The instructor are knowledgable but less of ability to instruct. When watching the video, I need to pause to clearly read what instructor just typed. I feel like the instructor is reading the screen without clarifying the contents. There are a lot of times I want the quit the course but I finally make it, so proud of myself. Working on the assignment with the help of stackoverflow, I learn a lot. In sum, I really think the instructor needs to improve the way he teaches and the assignments are useful. Thanks.

A clear and well structured introduction to Data Science in Python. The instructors are clear and knowledgeable on the topic. Thanks

Very good course Just I found that the coursework took way beyond what I catered for

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.