Ratings and Reviews for Introduction to Data Science in Python

Very good course for all Technical and Executive Data Scientists

This course taught me pandas and it did it very well. The assignments were sometimes unclear or contained small errors, which was frustrating at times, but overall very well worth the effort!

This course uses data from real-life examples. Although it is painful to clean the data, it does show you the true color of this kind works.

Excellent

The programming assignments were a little frustrating. I feel a little more time should be spent on the theory behind pandas and how the library works conceptually.

The lectures can include anecdotes & more relevant examples to make it more interesting. The notebokks & assignments are very well designed. Thank you!

It will be better to understand the whole coding if they explain more about the codes they are using. Some times they will directly using codes without explain it first.

There's a big mismatch between stuff they teach and what you're required to complete. Skills learned: dealing with annoying and obscure stuff produced by grader and reading forum. Suggestions for authors: simplify and/or write better grading code; review your own instructions by giving clear examples.

I really liked this course. It gives a good overview of the pandas library and some associated topics. For me, it aligned very nicely with my personal interests. I would have liked some more advanced topics as well, but I understand that this is an introductory course, so it is not in its scope. The integrated Jupyter notebook feature of Coursera is very neat - both for reviewing code from lectures and for assignments.

After taking other courses, I edited my comment. I realized that this course is really 5 stars courses.