Colors for Data Science A-Z: Data Visualization Color Theory
4.4 (109 ratings)
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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
Best Selling
4.4 (109 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
1,312 students enrolled
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Current price: $10 Original price: $170 Discount: 94% off
30-Day Money-Back Guarantee
Includes:
  • 4 hours on-demand video
  • 1 Article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I 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
View Curriculum
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 is the target audience?
  • Anybody who wants to improve their data science presentation skills
Students Who Viewed This Course Also Viewed
Curriculum For This Course
34 Lectures
03:47:26
+
Introduction
1 Lecture 02:08
+
Color Theory
7 Lectures 38:14
Color Theory Map
02:57


The Color Wheel
02:16

Tints, Shades and Saturation
06:05

Achromatic Colours
01:48

CMYK vs RGB
08:28

Colour Blindness
06:41

Let's recap 

Colour Theory
4 questions
+
Colours & Emotions
5 Lectures 26:53
Why this section is important
01:19

Meanings of Colours
06:04

Warm and Cool Colours
04:34

Yellow Orange Red
08:16

Blue Green Purple
06:40

Colours and Emotions
3 questions
+
The Tools
4 Lectures 24:56
Hello! This is what you will learn in this section
06:10


Paletton
06:19

Color Brewer 2.0
08:13
+
Colour Schemes
7 Lectures 44:16
Colour Context
04:51

Colour Schemes
07:41


Analogous Colours - REAL Data Examples
04:24

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

Triadic & Tetriadic Colours - REAL Data Examples
04:58

Colour of the background
12:29

Colour Schemes
3 questions
+
Data Science Project Walkthrough
9 Lectures 01:30:08
Project Brief: Vitamin Trials
04:34

Download & install Tableau Public
06:37

Buildining the visualization
10:12

Testing out color palettes
09:38

Applying the split complementary color scheme
09:41

Coloring the subcategories
10:42


Applying the analogous colour scheme
11:36

Section recap
18:48
+
Bonus Section
1 Lecture 00:53
Your Super-Special Invitation
00:53
About the Instructor
Kirill Eremenko
4.5 Average rating
50,430 Reviews
216,569 Students
29 Courses
Data Scientist & Forex Systems Expert

My name is Kirill Eremenko and I am super-psyched that you are reading this!

I teach courses in two distinct Business areas on Udemy: Data Science and Forex Trading. I want you to be confident that I can deliver the best training there is, so below is some of my background in both these fields.

Data Science

Professionally, I am a Data Science management consultant with over five years of experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and today I leverage Big Data to drive business strategy, revamp customer experience and revolutionize existing operational processes.

From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. I am also passionate about public speaking, and regularly present on Big Data at leading Australian universities and industry events.

Forex Trading

Since 2007 I have been actively involved in the Forex market as a trader as well as running programming courses in MQL4. Forex trading is something I really enjoy, because the Forex market can give you financial, and more importantly - personal freedom.

In my other life I am a Data Scientist - I study numbers to analyze patterns in business processes and human behaviour... Sound familiar? Yep! Coincidentally, I am a big fan of Algorithmic Trading :) EAs, Forex Robots, Indicators, Scripts, MQL4, even java programming for Forex - Love It All!

Summary

To sum up, I am absolutely and utterly passionate about both Data Science and Forex Trading and I am looking forward to sharing my passion and knowledge with you!

Patrycja Angelika Jeleniewicz
4.4 Average rating
108 Reviews
1,312 Students
1 Course
Professional Artist

My name’s Patrycja Jeleniewicz, I was born in Poland, but I grew up in Italy where I deeply enjoyed attending an awesome Art Academy for five years and where I started my life as a professional artist.

I had the pleasure of learning from great art teachers various subject and experiment many techniques. I also, worked side by side with different artist, ever since my academic journey, and participated in numerous contest and exhibitions. 

As a young person passionate about art I found my way to improve myself, improve my art, promote it and share results and my knowledge with other art lovers.

If you're reading this you must be one of them and I'm grateful you've found this platform to fulfil your curiosity and passion.

I have plenty of experience to offer when it comes to history of art, various techniques (watercolour, acrylic, oil painting, all sorts of pastels and pencils, ink, pottering, sculpturing..just to mention few), digital programs related and helpful for artist ( Photoshop, Auto cad, Lightroom, Palletton, ..), social media and ways to promote your art as well. And I can't wait to share it with you!

Now I’m located in Brisbane (Australia), where I work mostly on private commissions and teach privately people who love make art.

SuperDataScience Team
4.5 Average rating
44,432 Reviews
192,001 Students
19 Courses
Helping Data Scientists Succeed

Hi there,

We are the SuperDataScience team. You will find us in the Data Science courses taught by Kirill Eremenko - we are here to help you out with any questions and make sure your journey through the courses is always smooth sailing!

The best way to get in touch is to post a discussion in the Q&A of the course you are taking. In most cases we will respond within 24 hours.

We're passionate about helping you enjoy the courses!

See you in class,

Sincerely,

The Real People at SuperDataScience