Colors for Data Science A-Z: Data Visualization Color Theory (Udemy.com)
Learn how to apply colour theory to improve your Data Science & Analytics data visualisations and presentations
Created by: Kirill Eremenko
Produced in 2017
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
Quality Score
Overall Score : 84 / 100
Course Description
So why is this an important course for aData 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 visualizationcan 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 andpresentations 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 &PatrycjaWho this course is for:
Anybody who wants to improve their data science presentation skills
Instructor Details
- 4.2 Rating
184 Reviews
Kirill Eremenko
My name is Kirill Eremenko and I am super-psyched that you are reading this!
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.
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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