Ratings and Reviews for Introduction to Data Science in Python

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.

The material is valuable and taught well. The lectures are impossibly fast paced (lots of pausing) and the assignments are often ambiguous.

A little too fast for my taste, I had to stop the videos a lot to rethink what was said.

Challenging and worthwhile for a MOOC.

Well organized course. In particular, the assignment and instruction from TA provide the great insight of the course material.

It is well structured course you will find online about Data Science. All the aspects of a MOOC: like reading materials, videos tutorials, quizzes and assignments are included. Three words for this MOOC: Simple, Elegant and Structured.

A great course to learn data science!

Awesome course for beginners to learn basics and how it is applicable.