Colors for Data Science A-Z: Data Visualization Color Theory
Ditulis pada: October 22, 2018
Coupon Details
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
Created by Kirill Eremenko, Patrycja Angelika Jeleniewicz, SuperDataScience Team
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What you'll 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
Requirements
- A basic knowledge of computers and a passion to be successful
