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

This was a very good course and I feel like I really learned a lot. It starts out with a module on how data visualizations can mislead (intentionally or unintentionally!) and principles of good data visualization. I found it very informative. The instructor used good examples and also walks through the tweaking of a plot to follow the principles of good data visualization using matplotlib. Subsequent modules give you lots of experience with the matplotlib library and the process of transforming data and making visualizations. There is often a moderate amount of flexibility in the assignments, giving the learner the opportunity to take as much as they want from the experience. You get back what you put in. Multiple assignments have you go out in the real world to look for charts and data to use in your assignments, which give you a very good opportunity to apply what you've learned, moreso than in constrained assignments where data is given to you. My only complaint is the peer grading system, but I wish I could only dock half a star for it. I think it was actually implemented very well for a peer-grading system in a MOOC, and I even think that peer grading was the appropriate choice of grading system for this course, but of course it is going to have its downfalls. You are graded on a rubric provided by the instructor which mostly awards points just for completion of various parts of the assignment. This is how it has to be, as judging the quality of a visualization is very subjective (and dependent on the grader's comprehension of the course content), and students' grades shouldn't suffer because one of their graders doesn't like the colour red or because they don't understand the principles we are supposed to be applying. As an aside, there are many complaints that students are directed to read the documentation of a given library, google, search stackoverflow, etc. A course cannot teach you everything you need to know about a library. You are going to have to look things up yourself, especially when debugging. This is the reality coding.

Very interesting, practical and necessary to understand how to plot the results of an investigation.

Very good instructor explained matplotlib in very good way :)

This course was so hard to me (a Chemical Engineer) but is a good foundation to other courses related to data science.

Wonderful course for who wants to learn how to visualize data

This course is a great introduction and application of charting and plotting in the Python matplotlib module. It also covers the fundamental science and theory behind making impactful charts, which has had a big impact on how I think about charts and present data. I especially enjoyed learning some of the more sophisticated capabilities of plotting with matplotlib and pandas

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

Excelent course

Easy understanding and learning!!!

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