Ratings and Reviews for Introduction to Data Science in Python

I thought the videos for this course were appropriately concise and well-done. The projects were about the right difficulty and length (although the one for week three was more time consuming than expected). They were interesting enough to keep engaged. I think the span of topics was also useful and appropriate. I would have liked if the autograder gave more detailed output on what was wrong with a submission. I also think it would be extremely beneficial to see the "right" ways of solving this problems after a submission is completed. I'm sure I didn't use the optimal pandas approach in some instances, as it stands I seem to have no way of knowing and improving my knowledge beyond getting a passing grade.

Not so easy ,not too hard!

Good content - some prior knowledge of pandas is important.

Good course, going a bit fast on certain aspects but good use of Jupyter and interesting coursework, challenging enough.

Good lectures and a good introduction to the subject matter. Definitely requires additional research and practice is weak on Python and the Pandas library. The comments in the auto grading could be more helpful.

Good introductory course, but I must admit that the assignments are not explained well enough.

Very nice introduction, I wish homework were more clear and the autograder was much more smarter.

the best ever

it has a very good method of teaching and it is very informative :))

This is a popular course series that many have expressed interest in taking. Rigorous and challenging course that offers excellent, high quality teaching of python pandas. The University of Michigan does not disappoint and neither does the delightful instructor Christopher Brooks. I highly recommend this course to anyone serious about python and data manipulation. Time and money worth spent. Interesting assignments and datasets are found each week. You will learn a great deal. Concise videos with sharp insights from an expert on pandas are seen throughout. Once you finish the first course of the series, it leaves you excited for the second course in the series. Rock on "pandorable" pandistas!