Ratings and Reviews for Introduction to Data Science in Python

It is a good course. Just add some study material with it for reference in future.

Great and detailed course, but very confusing and possibly inconsistent 'beginning of recession' question in assignment 4. After much research online and note of teaching staff definition of the quarter to look for, I still got it wrong according to the autograder. But strangely got everything else right that depended on this answer?!?

I believe it misses basic concepts, so I needed to look in different resources to learn foundation.

love it!

An ideal course to start off your Data Science with Python journey. Some of the important topics are not covered in-depth. Learners will have to refer to external notes, documentation to get better understanding of the content.

Very Good content. Quite challenging for someone new to data processing. Great Experience. Thank you Coursera and University of Michigan.\ \ Suggestion: I had to google many stuffs to find some python methods and data processing tricks. These things can be provided as reference material. But It is not a big deal as searching and working out my way to the completion was fun.\ \ Also more exercises can be provided before assignment to make the students a bit more acquainted before attempting assignments.

why not have expect output for check

Awesome course

The assignments is awesome!\ \ But it requires too much self learning.\ \ The course will be better if the professor can teach a little bit more about the functions~

I enjoyed the course, overall. The assignments were challenging and required some help via stack overflow, but they were do-able and not impossible. The notebooks are great for experimenting and self-learning, but the lectures didn't go into enough depth, for my liking. In addition, the speed of the lectures was too fast on many occasions. I'd recommend having some programming background and/or familiarity with Python before taking this.