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

Overall, it is a reasonably good course. Content touches not only how to 'program' a simple / interactive / animated visual but also some theoretic aspects of plotting in general. An interesting thing about this course is that you will decide how challenging the submissions will be though this will not affect your grades. My final assignment for this course: https://github.com/vdyashin/EarthquakesInAsia. In this course, I learned how to create an interactive plot and applied this knowledge in order to create a portfolio-ready visualization. Though, since this course is about plotting and charting there is a lack of visual materials and great examples of use cases. For potential Russian-speaking listeners, I would recommend sticking with the MIPT-Yandex specialization instead of this one. If that specialization would seem too hard then finish this specialization first. Though, they both specified as an intermediate level. I would claim that this one is for beginners.

Good detail, solid material, well-presented. Projects were fun and interesting.

I thought this was a really good introduction to matplotlib and some of the things you can do with it. The final project we got to apply what we'd learned to real data, which was a lot of fun.

U of M does it again!

I like the fact that only only I can learn from doing assignments, but I also can absorb knowledge from judging peer assignments.

The structure of the course is very well thought out. Building up from basics to more sophisticated levels, from simple tasks to very demanding problems. I also liked that it maintains a cerain level of knowledge of participants so things from the prev courses aren't repeated

This course gave a solid introduction to plotting, charting, and data representation.

Excellent course!

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

Great courses , learned a lot about Python plotting