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

Really interesting course. Most of the course out there are only technical, about programming. This is about effective design, effective visualization.

Nice course! Great introdction to matplotlib.

The best practical approach to data visualisation.

One of the Best Data Science Course ever. Very informative. I will recommend for all Data enthusiast wanting to know more about Python data plotting, charting and data representation. I loved it, hope you will too.

Decent overview but could have spend more time showing plotting techniques in more detail than showing what makes an appealing plot. Also The section on the back-end of MatPlotLib was more detailed than it needed to be for quick overview but not detailed enough to be very useful.

Very informative

This course was not nearly as valuable to me as the first course in the series. It breezed through a bunch of different plot types without explaining in enough detail what they would be used for or when you should choose to use them. At the same time, it also didn't provide enough clear examples of how to do basic things in matplotlib, which seems to me to be a very non-intuitive thing with poor documentation. I found the first assignment to be very difficult.

This a pretty good introduction to plotting libraries in python. I would have preferred a deeper dive into some of the built-in methods. A little more on visualizations from libraries like seaborn, bokeh, or plotly would have been nice. Overall, great work.

I learned quite a lot about plotting, especially in Python. However, there was a bit too much theory (Cairos principles etc) for my taste.

Good intro to plotting, charting and visualization in Python. Focuses mainly on matplotlib. I feel good about the content that I learned, but also feel like I wanted to learn more in this class. Maybe more coverage of other python charting libraries. More examples of financial type charts -- High/Low/Open/Close etc.