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

Compared to the first course in this series, I found this one not so challenging. The final project was very loose (I understand that the instructors wanted to give the feel of a real research). The first assignment was very superficial. As much as Cairo's principles are important, I feel devoting an entire assignment to that is justified. The second and third were relatively straight-forward, but that was perhaps the saving grace. Wish the course spent time in dwelling on complex visualizations.

Several different API's are touched (matplotlib matlab-style and object oriented interfaces, seaborn, pandas, and it's easy to get lost. Some additional reference material would be helpful: cheat sheets, course slides with a bit more detail of the API's touched.

Its an essential course for all data scientist and also analysts work with every day visualizations. This course taught me about many things of Matplotlib and pandas plots. which I am unable to learn from any other source.

A fun and relaxed course exploring visualization in python

Best approach ... introduced from design thinking to architectural awareness

Could do with some improvement, better examples for the more complicated graphs. Week 4's examples and explanations were not very good. I have not learnt how to use pandas well in plotting, and have not managed to complete any graphs with pandas and seaborn.

Did not like the peer-graded dynamic, and also the lectures were pretty basic, I felt that it lacked depths in some subjects.

A completely hands on and demanding course. Assignments are challenging and motivates the learner to go out of box thinking

Fun course that was fairly challenging. Good introduction to using Matplotlib.

Great course.