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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
3.8
☆☆☆☆☆ 3.8/5
(1,046 reviews)
6,297 students
Created by
Kirill Eremenko

6.5

CourseMarks Score®

3.6

Freshness

7.6

Feedback

7.6

Content

Detailed Analysis »

Learn how to apply colour theory to improve your Data Science & Analytics data visualisations and presentations
Go to class »
Platform: Udemy
Price: check current price
Video: 3h 47m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

6.5 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

3.6 / 10
This course was last updated on 3/2017.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

7.6 / 10
We analyzed factors such as the rating (3.8/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

7.6 / 10
Video Score: 8.1 / 10
The course includes 3h 47m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 1 hours 56 minutes of 32 Color Theory courses on Udemy.
Detail Score: 9.2 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

Table of contents

Description

  What you'll learn
  Requirements
  Who this course is for
FAQ
  Price
  Refund policy
  Scholarships
Instructor
Recommended courses

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

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

Requirements

• A basic knowledge of computers and a passion to be successful

This course is for

• Anybody who wants to improve their data science presentation skills

How much does the Colors for Data Science A-Z: Data Visualization Color Theory course cost? Is it worth it?

The course costs $17.99. And currently there is a 82% discount on the original price of the course, which was $99.99. So you save $82 if you enroll the course now.
The average price is $14.8 of 32 Color Theory courses. So this course is 22% more expensive than the average Color Theory course on Udemy.

Does the Colors for Data Science A-Z: Data Visualization Color Theory course have a money back guarantee or refund policy?

YES, Colors for Data Science A-Z: Data Visualization Color Theory has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Colors for Data Science A-Z: Data Visualization Color Theory course, but there is a $82 discount from the original price ($99.99). So the current price is just $17.99.

Who is the instructor? Is Kirill Eremenko a SCAM or a TRUSTED instructor?

Kirill Eremenko has created 60 courses that got 573,207 reviews which are generally positive. Kirill Eremenko has taught 2,123,163 students and received a 4.6 average review out of 573,207 reviews. Depending on the information available, Kirill Eremenko is a TRUSTED instructor.

More info about the instructor,

Kirill Eremenko

Data Scientist
My name is Kirill Eremenko and I am super-psyched that you are reading this!
Professionally, I come from the Data Science consulting space with experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and since starting on Udemy I have passed on my knowledge to thousands of aspiring data scientists.
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. One of the strongest sides of my teaching style is that I focus on intuitive explanations, so you can be sure that you will truly understand even the most complex topics.
To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!
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Kirill Eremenko's full profile and courses »
Go to class »

6.5

CourseMarks Score®

3.6

Freshness

7.6

Feedback

7.6

Content

Detailed Analysis »

Learn how to apply colour theory to improve your Data Science & Analytics data visualisations and presentations
Go to class »
Platform: Udemy
Price: check current price
Video: 3h 47m
Language: English
Next start: On Demand

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