Ratings and Reviews for Introduction to Data Science in Python

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.

I think the material is still small. I think it still could include more things in this course.

The grader is pretty frustrating for no apparent reason, when checking a data frame have it check for equality row by row and be specific when asking questions. I suggest you make the questions return smaller size answers that can easily be checked. The course itself is OK but as a whole it is not that great.

Jupyter notebooks used for assignments work sporadically at best. I've spent about half my time during assignments troubleshooting notebook issues. It has been far more beneficial looking at the official pandas documentation and tutorials than taking this course.