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

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

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

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

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