Great course. But it is very broad (and challenging) for a four week course.

Good background - some of the presentations (such as on seaborn) are rushed

Good balance of theoretical knowledge in Matplotlib and applied charting.

Only thing I don't like is the peer review part. The rest is pretty good.

I found the lectures interesting and thorough yet short and to the point.

Really good , you need to read documentation and look at your peers work

Excellent course. I learned plotting and data representation in Python

Class was OK, would have liked some discussion of Bokeh and/or Altair.

Really useful course to master the matplotlib visualisation pacakge

week 3 is slightly faster as compared to other weeks of the course

The versions of pandas and numpy used in this course are outdated.

It would be greater, if teacher can cover more API in the lecture.

a quick but sparse introduction to plotting and charting in python

Should be updated with the updated pandas and matplotlib library

That was great !

Thanks all the instructors and their colleagues!

The course helped me to perform data visualization using python.

Very good overview. Could have been a little bit more material.

Good course to get a feel on plotting, what is chart junk etc.

Really helpful to improve skillset of visual communication.

Very good course. Requires a lot of work but well worth it.

Don't like to review the assignment part. Others are good

Great training in matplotlib and the plotting experience.

This was very strenuous. There are better graphing tools

I learned something that helps with my work. Thank you.

Somewhat easier compared to other courses in the pack.