Ratings and Reviews for Introduction to Data Science in Python

Very nice course format. Sometimes really challenging, and outright fun ! I wish there would have been a little more participation by staff / mentors, but this is just a minor cutback. Recommended to everyone !

This course is good but instructor is very bad..... Not providing good course lectures and materials... The lecture is very fast and not covering all the things being asked in the assignment... I am leaving this course due to this.. I have successfully done other python courses, because there, the instructor was very good and his teaching style was awesome... I have wasted lot of my times enrolling in this particular course... Though the course conception is good, instructor and course materials are not up to the mark....

Excellent material. Excellent teaching. Challenging problem sets. Autograder needs some work.

To be honest, I think the course is very good, however, it may be need to more clear on the description of the questions in assignment.

Great pace for intermediate level people.

Great course, fast and deep, I liked it very much

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.

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.