Colors for Data Science A-Z: Data Visualization Color Theory
Learn how to apply colour theory to improve your Data Science & Analytics data visualisations and presentations
4.36 (1268 reviews)
7 389
students
4 hours
content
Jan 2025
last update
$74.99
regular price
What you will learn
Use colour schemes to create eye-catching palettes
Assess colour aesthetics of any Data Visualization
Know the difference between RGB vs CMYK
Create impactful Data Science visualizations
Understand how colour schemes work
Know what a tint, shade and tone are
Know what an achromatic colour is
Use tools such as Adobe Color, Paletton and ColorBrewer
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Our Verdict
This course offers valuable insights for data visualization enthusiasts seeking to enhance their understanding of color theory and practical applications. While the instructional style and production quality have room for improvement, the engaging and hands-on approach will benefit both beginners and intermediate learners looking to elevate their skills and create more impactful data visualizations.
What We Liked
- Covers both color theory and practical applications in data visualization
- Incorporates real-world data set example to demonstrate concepts
- Introduces helpful tools such as Adobe Color, Paletton, and ColorBrewer
- Clear explanations of fundamental color concepts like RGB vs CMYK, tints, shades, and tones
Potential Drawbacks
- Instructional style can be awkward and distracting at times
- Lacks in-depth discussion on color spaces (HSL vs. RGB) and CIE chromaticity diagram
- Limited exercises provided for choosing and using color schemes
- Occasional grammatical errors and less-than-ideal sound quality
Related Topics
1123198
udemy ID
22/02/2017
course created date
21/11/2019
course indexed date
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