I was a Beta tester on this course and felt it wasn't even ready for a Beta label. Despite Beta tester feedback, they've changed nothing and released anyways. Not at all ready for students. Extremely buggy, poor lectures, assignments that don't match lecture material, no forum assistance, and highly advanced Python experience required (don't believe the claim "intended for learners who have basic a [sic] python or programming background"). Pass it by.
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
an exceptional course by MU. Very good course and content
nice class
Very good lectures and examples. Horrible autograder - very stiff and all results must be in a very strict order and format. Extremenly vague questions prone to misinterpretation.
Most of the time is not spent on analysing data or coding but trying to understand the autograder and questions. The stress should be somewhere else. As a whole poorly prepared course.
Very good design and teaching for a intermediate level learning course! Easy to learn with practice with Jupyter notebook.
Great cou
I know it will be awesome. Umich never disappoints in coursera :D
Great course to start learning the beauty of python programming with data science.
