Ratings and Reviews for Applied Plotting, Charting & Data Representation in Python

Excellent course I really enjoyed learning this course it has all the basic covered and doing the assignments helped me in my work. Thanks a lot for putting together this material and special thanks to the Professor

Pretty good course the material is good. Offers good coverage and proposes some interesting problems. Pairs grading works pretty well.

Awesome course

This is an excellent course on visualization in Python. The videos are brief and covers just the right amount of information. Reading resources and assignments are carefully chosen and perfectly complements what we've learned in the lectures. Assignments, most of the time, require us to read the matplotlib documentation but is easily understandable once gone through the lectures. Assignments are not very easy/simple, but completing it with real data and help from documentation, stack overflow and discussion forums is deeply satisfying.

Thanks to Brooks for wonderful teaching

Not a great course. Prof is obviously smart, but the lectures breeze through the material far too quickly and too lightly, with students left to do most of the work themselves via the assignments. I'm a fan of learning by doing, but I question the value of a course when most of what I pick up I get from stack overflow. The assignments aren't well explained or maintained, and the same questions keep coming up from students year after year. Prof would be well advised to revisit this course, expand and update the content, and clarify the various points of confusion in the assignments.

Great way to enhance skills in data visualization. I would recommend this course to anybody in any sort of position that would like to make data look beautiful!

good

Good course about data visualization in Python. Also, the course discusses the fundamentals of good visualization that I found useful.

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