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

Demanding course, not only on Matplotlib. I appreciated that the creators designed the course more like an university seminar. It's more on data science in general than just becoming acquainted with the API.

This was the tough one to be honest by the middle because it felt time consuming but what was really worth at last!

This course provides an overview to the matplotlib and seaborn library and guides learners to create useful visualisations with Python. My main issue with the course is that the various topics are not covered in sufficient detail. Successful completion of the assignments required far too much independent learning on commands that were not covered in the course (particularly for Assignment 3). The course also covered Principles of Information Visualisation in great detail. I thought that was refreshing and useful. However, I felt that the portion on Matplotlib Architecture could be explained in more layman and palatable terms. In addition, it would have been more meaningful if the course drew more on actual real-world datasets instead of histograms generated from a random normal distribution.

Provided enough structure and worked examples to give a meaningful introduction to the topic, but left the assignments open-ended enough that they were interesting and challenging. I ended up spending a lot of time on the various assignments, but actually found the whole process quite rewarding.

Great course!

L

good one

good

Provides a wide variety of tools to visualize data

The contents are great and Professor Brooks makes them very easy to understand