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
Description
A fun and entertaining journey thorough colour theory and basic colour knowledge to help you create effective Data Science visualisations.
So why is this an important course for a Data Scientist?
Think about this...
You've just completed an incredible Analytics project.
You did the data prep, the modeling, and now you have the insights.
But we all know that this is not the end...
You still need to present your findings to your manager, client or even a large audience.
Now this is where the trick is.
A powerful visualization can make or break your project.
And this is where the power of colours comes in!
In this course we will show you where colours originate from and what they mean.
You will finally understand how to make your Data Science visualizations and presentations super-impactful.
Whether you are a beginner or a seasoned Data Scientist, this course will help you truly wow your audience and take your Analytics skills to the next level.
We can't wait to see you inside!
Kirill & Patrycja
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
Who Should Attend!
- Anybody who wants to improve their data science presentation skills