Please update the auto-grader such that is it compatible with current version of Jupyter notebook, very frustrating dealing compatibility issues

This course is a nicely organized. However assignments are not completely clear. Especially assignment 4 needs more explanation and details.

Subject matter was very good. Some of the assignments were not clear on instruction, and some of the Coursera functions were buggy or broken

Material delivered a bit too rapidly to effectively assimilate. Often, further external research is needed to find solutions to assignments.

I don't think this is a good enough course to "teach" you "data-science". All this does is give you an overview of things you need to know.

The assignment descriptions needs to be precise (with psuedo code).And the statistics part needed a lot visualization to aid understanding.

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

The course is great, if ambiguity and vagueness could be removed when asking questions. This would help with finishing the course on time.

Assignments were more difficult than they needed to be because many of the directions were unclear. Otherwise, the class was interesting.

Great Assignments, Great learning, but requires good "prior" knowledge of Python and Pandas. This is more of a refresher course in Pandas.

Much more time needs to be invested into theory of the data frames. The course is too lightweight for the heavyweight topic it's covering.

Course materials should be scrutinized. It's like the mentor is going through a scripted page. I understood very little from this course.

Good course for the basics, but the assignments are very difficult as lectures do not cover everything which is asked in the assignments.

Great Content. Course Auto-Grader was immensely frustrating. Videos aren't very helpful except to identify where to do your self study.

The course assignments are at a very good level. But, I feel the course doesn't prepare you for that. Most of the work is self-learning.

The examples used are so small it's hard to understand how to use these skills in real-world situations if you aren't as used to Python.

There should be more Pandas API hints in lectures, it ware really hard to find optimal ways to perform operations on DataFrames I wanted

The course lessons could have been more specific and provide more explanations on many topics that are later required in the assignments

Lectures are interesting but coursework is challenging. It requires significant external reading and understanding to stand a chance.

The demanded exercises were way harder than the content taught. Also, the main teacher isn't didatic, he speaks in a monotonous way.

is good to make students to investigate but, in the whole course i was thinking that youtube teached me more than the course itself.

It is a bit messy. There are bugs and the sytem of ex submission is not really well done. There is a problem with the certification.

The instructions are well and clear. I wish we were given more examples and the data files to play with. Overall enjoyed the course

First Assignment was pretty unclear where to find or what to do. Makes no sense to explain it the week after from my point of view.

The instructor just reads the notes in front of the camera. The lectures are boring and uninspired. I do not recommend this course