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

An very good overview of how to develop honest, functional and aesthetically pleasing data visualizations. With additional instruction in how to use matplotlib and Seaborn, it would be a five-star course!

heavy

Very unresponsible professor. No passion at all!!!!! Did not explain the fundamental concept well. As a result, I do not think I have a deep understangin at all. I spend most my time google in order to finish my assignments. I give him the second star only because I the way he designed those challenging assignments. He should include some skill needed to finish the assignments.

It contains very good recommended lectures, good material and explanation about matplotlib to grasp a big picture. However, you must invest a lot of time on your own to research deeper in the topic

I highly recommend this class Though we cannot remember all the things the instructor delivered here, it really provided me a way to se how significant the toolkit can achieve. And the rest relied on ourselves such as referencing documentation.Great class.

This was good course, but a little heavy going at times. I actually stopped it, then came back to it after doing course 4 in the specialization. It is worth it tho, so keep going!

A very well structured course.

Thank u professor!!!

Good course!!!

The concept is good: introduce the theory of information visualization and introduce how to make charts with Python and matplotlib. Unfortunately the materials are deficient for the programming part. There aren't nearly enough practice exercises to help you learn matplotlib. The previous course in this specialization (intro to data science in python) by comparison has many more guided practice exercises, and I am disappointed that this course does not live up to the standard set by the first course. If you are taking the complete specialization, as I am, then I guess it's worth it and I hope the next courses in the series have more material.