Information Visualization: Applied Perception

This second course in the information visualization specialization learns you what visual channels you can use to represent data: quantitative, ordinal and categorical data.
Based on the properties of visual channels: accuracy, discriminability, salience, separability, and grouping characteristics you will identify the most effective channels to bring the message.
Special attention is given to color, how color is perceived and specified. The main color spaces are explained: RGB, HSV/HSL, CIE Lab/Luv + Lch/HCL, and guidelines are provided to use these color spaces appropriately. Also, bad practices like the rainbow color map are explored.
In the end, you will be able to produce effective color scales for different kinds of data.
In a final peer-graded assignment you design your own color scales and compare the result with your peers.
Compared to the first course in the specialization this one is a bit more theoretical, however again you will end up with practical knowledge for real-world problems