Ratings and Reviews for Introduction to Data Science in Python

Great course material, but the autograder system was frustrating to work with for assignments, and often made me less motivated to work on the course.

Muy muy bueno

Assignments are great! They will force you to learn. The professor and lectures, not so much.

Pretty good content, instructor is clear. Assignments are a little disappointing. The grading system is dated and thus if you're using the latest versions of pandas/numpy expect to get many exceptions (without the specific error message) when submitting assignment solutions.

good introductory course

A very good course for learning python. I've got great confidence in handling dataframes in python.

This is a very challenging course for newbies in python. But forces you to learn a lot in a very short amount of time. Highly recommend it!

Easy to study. It's very useful for me. Thanks, Teacher.

great !

The lectures are of good quality. They are on a practical and introductory level as implied by the course's title. The Python programming assignments are not very good and do not match the quality of the lectures. The tasks do provide meaningful practice but there are many technical and quality issues. I will just list two of them: One issue is that some functions you need to fill in do too much and when automatic grading software judges your function incorrect then the feedback given is far from sufficient for debugging. Another issue I had is the grader was not grading the version of my code I saw in the jupyter notebook but rather an earlier version it had saved. Issues like make this course significantly inferior to other coursera courses I've taken.