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

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

Really interesting course covering matplotlib functionality. There is a lot of self-study required, but that's okay. Liked the demo's about Panda's and Seaborn in week 4 as well.

Very Informative and to the point.

There are so many components to plotting that I didn't take into consideration, and this is after having gone through a Master's program in statistics. I have taken many of the simple things into mind each time I create a visualization at my job. Thus far, I have found the first two courses in this series invaluable and highly recommend it!

First, I would prefer there is a way to download the sample code professor Brooks used in the course. The screen showing his code moved too fast, and I have to pause and typed to try them out. Second, I will suggest the course show more code examples, more explanation for matplotlib architecture rather than most of the time just verbal description from the profession

Great exercises!!!

This course is really as good or as bad as you make it for yourself, since it is quite bare, more a sort scaffold for you to do your own learning and projects. This is arguably the best way to learn though, which is why I like it. But, it may be challenging for beginners to get the most out of it.

Was useful but could be better

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!

Most of the learning was self-directed as I worked through the assignments using Stackoverflow and other online resources and documentation. It would have helped to provide a lot more instruction on customizing templates such as the Seaborn library, adding notations, and fixing alignment issues.