Spent more time figuring out what was being asked in the assignment rather than solving the assignment. Typos in assignment questions led to wasted hours without understanding why the grader kept rejecting solutions. Course content was useful and I would recommend if you are willing to live through the pain of the assignment submission.
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
Good for Beginners. Assignments are good but question framing was poor. Of course, required doubts are clarified through Discussions. Overall Great Experience doing this course. Thank you!
Very nice course. The only problem that I found was the lack of exercises between assignments.
Challenging course but worth the effort!
Very good intro into how to use Pandas for working with data sets and get insights from your data by using various aggregating functions and statistical tests.
Took me ages to complete the assignments given my limited programming skills! But totally enjoyed solving the problems.
This course systematically introduced the use of Python and Pandas library to read data, clean data, transform data, and do statistical analysis.
Superb course and the staff from University of Michigan were quite committed with the learners, they've given me very valuables tools and skills, thanks a lot.
Top free course about Data Science. But I think lectures must be more detailed and related to assignments. And assignments could be less ambiguous and more clear.
This is a really great course. Christopher Brooks teaches in a very clear and objective way, in addition to the weekly assignments that are challenging and puts into practice all the content you've learned trough the videos and the material. I really recommend this course!
