HOT
blank

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

Business

Rating4.4
Enroll Now

Colors for Data Science A-Z: Data Visualization Color Theory, available at $69.99, has an average rating of 4.42, with 41 lectures, 3 quizzes, based on 1211 reviews, and has 7151 subscribers.

You will learn about 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 This course is ideal for individuals who are Anybody who wants to improve their data science presentation skills It is particularly useful for Anybody who wants to improve their data science presentation skills.

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

Summary

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

Price: $69.99

Average Rating: 4.42

Number of Lectures: 41

Number of Quizzes: 3

Number of Published Lectures: 34

Number of Published Quizzes: 3

Number of Curriculum Items: 44

Number of Published Curriculum Objects: 37

Original Price: $149.99

Quality Status: approved

Status: Live

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

Target Audiences

  • Anybody who wants to improve their data science presentation skills

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

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome to the course

Chapter 2: Color Theory

Lecture 1: Color Theory Map

Lecture 2: What is a color?

Lecture 3: The Color Wheel

Lecture 4: Tints, Shades and Saturation

Lecture 5: Achromatic Colours

Lecture 6: CMYK vs RGB

Lecture 7: Colour Blindness

Chapter 3: Colours & Emotions

Lecture 1: Why this section is important

Lecture 2: Meanings of Colours

Lecture 3: Warm and Cool Colours

Lecture 4: Yellow Orange Red

Lecture 5: Blue Green Purple

Chapter 4: The Tools

Lecture 1: Hello! This is what you will learn in this section

Lecture 2: Adobe Color

Lecture 3: Paletton

Lecture 4: Color Brewer 2.0

Chapter 5: Colour Schemes

Lecture 1: Colour Context

Lecture 2: Colour Schemes

Lecture 3: Monochromatic Colour Schemes – REAL Data Examples

Lecture 4: Analogous Colours – REAL Data Examples

Lecture 5: Complementary & Split-Complementary Colours – REAL Data Examples

Lecture 6: Triadic & Tetriadic Colours – REAL Data Examples

Lecture 7: Colour of the background

Chapter 6: Data Science Project Walkthrough

Lecture 1: Project Brief: Vitamin Trials

Lecture 2: Download & install Tableau Public

Lecture 3: Buildining the visualization

Lecture 4: Testing out color palettes

Lecture 5: Applying the split complementary color scheme

Lecture 6: Coloring the subcategories

Lecture 7: Applying the triad color scheme

Lecture 8: Applying the analogous colour scheme

Lecture 9: Section recap

Chapter 7: Congratulations!! Don't forget your Prize 🙂

Lecture 1: Bonus: How To UNLOCK Top Salaries (Live Training)

Instructors

Rating Distribution

  • 1 stars: 22 votes
  • 2 stars: 51 votes
  • 3 stars: 223 votes
  • 4 stars: 433 votes
  • 5 stars: 482 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

You may also like

Top 10 Relationship Building Courses to Learn in November 2024

Top 10 Storytelling Courses to Learn in November 2024

Top 10 Resilience Training Courses to Learn in November 2024