Mastering Data Visualization: Theory and Foundations

Focused View

Clara Granell, PhD

4:48:05

7 View

1. Introduction

1. Introduction.mp4

04:26

2. About this course the 5 Ws.mp4

06:09

3. Examples of Data Visualization.mp4

10:57

4. The Problem with Data Visualization.mp4

10:39

2. Graphical Perception

1. A very quick interruption....html

2. Introduction to this Chapter.mp4

00:30

3. The science of human graphical perception.mp4

08:11

4. The Elementary Perceptual Tasks (Part 1).mp4

12:18

5. The Elementary Perceptual Tasks (Part 2).mp4

10:03

6. How good is your Graphical Perception.html

7. The Ranking of the Elementary Perceptual Tasks.mp4

02:55

8. Identify the Elementary Perceptual Tasks.html

9. Redesigning charts.mp4

07:00

3. The Golden Rules of Data Visualization

1. Introduction to this Chapter.mp4

00:44

2. Graphical Excellence.mp4

08:34

3. Graphical Distortion.mp4

04:34

4. Graphical Integrity The Lie Factor.mp4

09:51

5. Exercise Calculate the Lie Factor (updated!).mp4

03:01

6. Labeling and Annotation.mp4

04:34

7. Data Variation vs. Design Variation.mp4

07:39

8. The problem with dimensions.mp4

09:41

9. Some advice regarding dimensions.mp4

05:56

10. The Data-Ink Ratio.mp4

14:03

11. Data Density.mp4

06:02

12. Proportion and Scale.mp4

07:01

4. Statistical Traps How not to fall in them

1. Correlation doesnt sell newspapers.mp4

10:34

2. Selection Bias and Data Attrition.mp4

09:37

3. The Importance of Context.mp4

05:15

4. The Incorrect Normalization of the Data.mp4

07:05

5. The Simpsons Paradox.mp4

06:19

5. Plots Find the correct plot for your data

1. Wait, do you really need a plot.mp4

03:08

2. Types of Plots.mp4

01:58

3. Plotting Distributions.mp4

07:51

4. Plotting Relationships between variables.mp4

11:00

5. Plotting Rankings.mp4

09:02

6. Comparing Part to Whole.mp4

06:44

7. Plotting spatial data Maps.mp4

11:23

6. Plot Crimes

1. Introduction to the chapter.mp4

00:28

2. When is it okay to cut the Y-axis.mp4

08:48

3. Shading the Area of a Line Plot.mp4

05:22

4. The Spaghetti Chart.mp4

03:08

5. Error bars and the Dynamite Plot.mp4

07:02

6. How to choose the right colors.mp4

10:00

7. Common mistakes with color.mp4

06:38

7. What Next

1.1 I want to know more about that ggplot2 course you mentioned....html

1. Congratulations! What now.mp4

01:55

Description

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

What You'll 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!

Who is this for?

Programmers / Researchers / Designers that want to learn how to produce top-quality plots

Anyone who has to present data at some point!

Data Scientists

Academic scientists having to publish in scientific journals

Journalists / Data Journalists

Communication experts

Also the general public: you should know how graphs work because they're everywhere!

What You Need to Know?

There's no coding in this course. No programming skills required.

No previous knowledge about data visualization is required.

A perfect start for beginners, an interesting take for those with experience in Data Viz.

More details

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?Â 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?Â 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.Â (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!
Who this course is for:
Programmers / Researchers / Designers that want to learn how to produce top-quality plots
Anyone who has to present data at some point!
Data Scientists
Academic scientists having to publish in scientific journals
Journalists / Data Journalists
Communication experts
Also the general public: you should know how graphs work because they're everywhere!

User Reviews

Rating

average 0

Total votes0

Focused display

Data Visualization

Clara Granell, PhD

Instructor's Courses

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!

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.