Colordata Course

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Tags: Data Visualization , Color Theory

Learn how to apply colour theory to improve your Data Science & Analytics data visualisations and presentations

Last updated 2022-01-10 | 4.2

- Use colour schemes to create eye-catching palettes
- Assess colour aesthetics of any Data Visualization
- Know the difference between RGB vs CMYK

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

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

Who this course is for:

  • Anybody who wants to improve their data science presentation skills

Course content

7 sections • 37 lectures

Introduction 1 lectures

Welcome to the course Preview 02:08

Color Theory 8 lectures

Color Theory Map Preview 02:57

What is a color? Preview 09:59

The Color Wheel Preview 02:16

Tints, Shades and Saturation Preview 06:05

Achromatic Colours Preview 01:48

CMYK vs RGB Preview 08:28

Colour Blindness Preview 06:41

Colour Theory

Let's recap 

Colours & Emotions 6 lectures

Why this section is important Preview 01:19

Meanings of Colours Preview 06:04

Warm and Cool Colours Preview 04:34

Yellow Orange Red Preview 08:16

Blue Green Purple Preview 06:40

Colours and Emotions

The Tools 4 lectures

Hello! This is what you will learn in this section Preview 06:10

Adobe Color Preview 04:14

Paletton Preview 06:19

Color Brewer 2.0 Preview 08:13

Colour Schemes 8 lectures

Colour Context Preview 04:51

Colour Schemes Preview 07:41

Monochromatic Colour Schemes - REAL Data Examples Preview 04:24

Analogous Colours - REAL Data Examples Preview 04:24

Complementary & Split-Complementary Colours - REAL Data Examples Preview 05:29

Triadic & Tetriadic Colours - REAL Data Examples Preview 04:58

Colour of the background Preview 12:29

Colour Schemes

Data Science Project Walkthrough 9 lectures

Project Brief: Vitamin Trials Preview 04:34

Download & install Tableau Public Preview 06:37

Buildining the visualization Preview 10:12

Testing out color palettes Preview 09:38

Applying the split complementary color scheme Preview 09:41

Coloring the subcategories Preview 10:42

Applying the triad color scheme Preview 08:20

Applying the analogous colour scheme Preview 11:36

Section recap Preview 18:48

Bonus Section 1 lectures

Your Super-Special Invitation Preview 00:51