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Mastering Data Visualization: Theory and Foundations (Udemy.com)

Learn to design amazing charts for visualization and communication for [data] science, journalism and storytelling

Created by: Clara Granell, PhD

Last updated January 2023

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What you will learn

  • Learn to design effective data communication
  • Improve your plots up to a professional level
  • Learn to choose and design the appropriate plot for your purpose
  • Learn to create compelling graphs that do not lie
  • Learn to avoid the traps your data can fall into
  • Learn to distinguish between good, bad and wrong visualization
  • Learn the golden rules on Graphical Excellence, Integrity and Sophistication
  • Learn the most common crimes in plotting to be able to avoid them!

How it compares

Against the other 461 rated Udemy courses in Data Science on CourseDuck:

  • Rating4.7 out of 5higher than 85% of them
  • Reviews4,461#45 of 462 by number of reviews
  • Length4.8 hoursshorter than 68% of them
  • Last updatedJanuary 2023earlier than 84% of them

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Course Description

Welcome to Mastering Data Visualization! In this course, you're going to learn about the Theory and Foundations of Data Visualization so that you can create amazing charts that are informative, true to the data, and communicatively effective.

Have you noticed there are more and more charts generated every day? If you turn on the TV, there's a bar chart telling you the evolution of COVID, if you go on Twitter, boom! a lot of line charts displaying the evolution of the price of gas. In newspapers, lots and lots of infographics telling you about the most recent discovery... The reason for that is that now we have lots of data, and the most natural way to communicate data is in visual form: that is, through Data Visualization. But, have you noticed all of the mistakes in those visualizations? I have to tell you, many of the charts that I see regularly have one problem or another. Maybe their color choices are confusing, they chose the wrong type of chart, or they are displaying data in a distorted way.

Actually, that happens because more and more professional roles now require to present data visually, but there's few training on how to do it correctly. This course aims to solve this gap. If there's one thing I can promise you is that, after completing this course, you'll be looking at charts at a completely different way. You will be able to distinguish good and bad visualizations, and, more importantly, you will be able to tell when a graph is lying and how to correct it.

If you need to analyze, present or communicate data professionally at some point, this course is a must. Actually, even if you don't need to actually draw plots for a living, this course is hugely useful. After all, we are all consumers of data visualizations, and we need to identify when charts are lying to us. (As an example, my mother attended one of my classes and now she's spotting mistakes in a lot of the media she sees everyday!)

I really encourage you to deepen your knowledge on Data Visualization. It's not a difficult topic, and we will start from the basics. You don't need any previous knowledge. I'll teach you everything you need to know along the way and we'll go straight to the point. No rambling. I really hope to see you in class!

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Instructor Details

Clara Granell, PhD

Hi, I'm Clara!

I'm a Computer Scientist by training, a Complex Systems researcher by choice and a Data Visualization specialist by passion.  

Over the many years of work in my career as a scientist, I've had to face the challenge of presenting very complex data in an understandable, easy and beautiful manner. In science, it is crucial to present your data in a way that it is understood, because the science behind it is often complicated enough, right? 

So in my journey of learning how to communicate data in the most effective way, I had to learn the principles of human perception, the do's and don'ts of graphical design, the rules of graphical integrity and excellence... And then I had to choose what's the most appropriate tool to do the job: it had to be a powerful, yet flexible tool, and after trying many different plotting systems in many different programming languages, I finally commited to ggplot2. It took me a while to master all of it, but after doing it I found it was too good for me not to share it with the world.

So here I am, in Udemy, helping you become a better Data Visualization professional with my courses. See you around!

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Reviews

4.7

4,461 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Lenee Freeman on 8/13/2026

there's more math that i was expecting and I wasn't keep track of how she did the percentages for all of the sections to understand how to tell if information was correct or not

By Cintia Elizabeth Calvo on 6/1/2026

Super clear explanations and examples of what to do and what not to do. I would have loved some more exercises to make it sink in but otherwise it was an amazing course!

By Annette Hughes on 5/18/2026

In chapter 21, the word ratio (ray-she-o) was mispronounced the entire time as (ray-dee-o). This course is a little high level for someone becoming familiar with all the terminology. Not bad though for someone who already deals with scientific data perhaps.

By Eleonora Ferraro on 4/22/2026

I really liked the way the course was structured, concept were clear and explanations were concise but exact. Also each lesson was relatively short so it was easy to fit the course in between other tasks.

By Fidel Augusto on 2/5/2026

Aprendi como corrigir alguns erros e clarificar apresentações e gráficos após resolver dúvidas de disposição e organização de informações. Muito informativo!

By Nataliya Kalyna on 1/22/2026

This was more than I expected from a course. I was looking for a refresher on Visualization and was hoping for a different take on the topics to also fill in the gaps. The critical approach is fantastic. I don't mind not having the course materials as it actually encourages me to process things as i see them. Definatly adding to my 'must rewatch' list

By Daniel Thiel on 1/6/2026

Dieser Kurs beschäftigt sich mit den grundlegenden Ideen hinter guten Abbildungen. Die Strukturierung und Begeisterung fürs Thema machen tatsächlich Lust auf mehr. Didaktisch hochwertiger als 95% der Kurse welche ich an der Universität besucht habe.

By Giulia Radighieri on 12/18/2025

Top-notch course, Clara delivers the essentials (no bs) in a spotless, concise, and understandable manner. Wish all courses could be like this.

By Kim Carson on 12/8/2025

Detailed, comprehensive, and easy for beginners to understand. Brought to light many issues with my own visualizations that I had never thought of.

By Kanak Yadav on 10/30/2025

Excellent course. Good examples from media outlets of bad and good infographics. My only negative was some statistical concepts like meaning of continuous and discrete variables could have been explained.

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Overall Score : 94 / 100