It's provides both the theory and principles behind great visualizations as well as the practical experience needed to learn to build these visualizations.

Excellent introduction to matplotlib. The course also covers some philosophy behind creating good graphics, and teaches you how to spot misleading graphs.

Very comprehensive and challening course on plotting, both from a theoretical point of view (how to plot) and practical (how to code and improve plots)

Really interesting course. Most of the course out there are only technical, about programming. This is about effective design, effective visualization.

It's good introduction. Esp with architecture of the lib. But the final assignment is not as said before as a deeper dive into source code of the lib.

It was unexpectedly deep and thorough course about visualisation principles and practice. Great lectures and wide knowledge on the know-how in Python.

Well structured course, gave a nice overview of the matplotlib tool and the basics for data visualization. I liked the pace more than the first course

Very good and insightful. A lot of studying and researching to complete the course. Still by far the best graphing course using programming languages.

Brilliant course, I would happily recommend it to anyone who's interested in learning how to visualize data in a publication quality way using python.

Excellent Course Content to explore and learn a different kind of Plottings available in Python libraries. Overall nice work by coursera team, Kudos!

It was not only the technical part of plotting I enjoyed a lot but the discussions and readings regarding principles of how a graph should look like.

A well-structured and useful course. The lectures were interesting and the programming assignments had a just-right level of difficulty. Good work.

This is a solid course in data visualization using matplotlib. The course includes a good theoretical discussion, as well as non-trivial homeworks.

Another great course by Christopher Brooks.This specialization is more project oriented and has very little theory content,which I like.Great work.

Great course, it would have been better If the course material delved deeper into what kind of plots will be useful when looking at a fresh problem

I was not sure what to expect as many other options for plotting data are available, but I thought the course was very interesting and insightful.

Nice Course ! I have learnt some principle of plotting and it helps me to view my graph more critically. Also, I enjoy the peer review assignment.

This course is so wonderful. I realised the importance of charts and plots before and it sheds a whole new light on the topic.

Wonderful content!

Very good inspiration for exploring more on charting! I enjoyed and started using some of the techniques immediately in my field of occupation.

Great content and challenging. I like how you can choose difficulty of some of the assignments to accommodate a broader range of skill levels.

This course is perfect for anyone that wants to learn about matplotlib, statistics, and making trustworthy visualizations as a data scientist.

Really useful course showing lots of techniques to present data along with discussion of good design principles for effective presentation.

U-Mich has an excellent handle on how to tap into the student's curiosity and maintain engagement even in online courses. Very Impressive!

Very good course! Particularly useful - and very essential to my view - that all the assignments are hands on and based on "real" cases!

This is a good class as it builds on what you learned in the first class. I feel that I know have a better understanding of dataframes.