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Ratings and Reviews for Introduction to Data Science in Python

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Reviews and Ratings

4.5

23,484 Ratings from Coursera

Reviews

Overall I thought the level of the course was good. The programming assignments were complex and long enough that you had a good opportunity to re-inforce topics covered in the course. I already had a good bit of pandas experience so the course was helpful to re-inforce things I was already familiar with but hadn't been forced to try out. I think if you don't already have pandas experience the assignments might be tough.
High quality content and challenging assignments. Really good!
This course is accurately advertised as requiring intermediate programming experience. It focusses on some of the basic python tools that are used in data science like pandas, specifically dataframes. For a python newbie like me, some of the assignments were quite challenging as they required significant additional reading and search. I would have appreciated if all of the concepts required to solve the assignments were introduced in the same week, so my additional reading and search would have been more targeted. Very little stats if any is required or taught.
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.

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