Learn how to apply colour theory to improve your Data Science & Analytics data visualisations and presentations
InstructorPatrycja HannaganCovers essential concepts such as tints, shades, saturation, and the distinction between RGB and CMYK.
Provides instruction on using industry-standard tools like Adobe Color, Paletton, and ColorBrewer for palette creation.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
Educational slide titled Tints, Shades and Saturation featuring a labeled color wheel and a photo of two presenters.
A screenshot of the Adobe Color CC interface displaying a complementary color scheme with a large color wheel, five swatches, and RGB HEX sliders.
Screenshot of the ColorBrewer web interface displaying a color scheme selection panel and a choropleth map of the United States
A Tableau Public dashboard displaying a scatter plot where colored dots represent different demographic groups across vitamin dose and test score metrics.
Includes a project-led segment using Tableau Public to demonstrate color application on real data examples.
Instruction centers on manual color selection and lacks coverage of automated or programmatic methods.
The curriculum aligns with the goal of improving data science presentations through color theory and tool usage.
