Colors for Data Science A-Z: Data Visualization Color Theory

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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