Mô tả

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!

Bạn sẽ học được gì

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!

Yêu cầu

  • 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.

Nội dung khoá học

7 sections

Introduction

4 lectures
Introduction
04:26
About this course: the 5 Ws
06:09
Examples of Data Visualization
10:57
The Problem with Data Visualization
10:39

Graphical Perception

9 lectures
A very quick interruption...
00:37
Introduction to this Chapter
00:30
The science of human graphical perception
08:11
The Elementary Perceptual Tasks (Part 1)
12:18
The Elementary Perceptual Tasks (Part 2)
10:03
How good is your Graphical Perception?
5 questions
The Ranking of the Elementary Perceptual Tasks
02:55
Identify the Elementary Perceptual Tasks
3 questions
Redesigning charts
07:00

The Golden Rules of Data Visualization

12 lectures
Introduction to this Chapter
00:44
Graphical Excellence
08:34
Graphical Distortion
04:34
Graphical Integrity: The Lie Factor
09:51
Exercise: Calculate the Lie Factor (updated!)
03:01
Labeling and Annotation
04:34
Data Variation vs. Design Variation
07:39
The problem with dimensions
09:41
Some advice regarding dimensions
05:56
The Data-Ink Ratio
14:03
Data Density
06:02
Proportion and Scale
07:01

Statistical Traps: How not to fall in them

5 lectures
Correlation doesn't sell newspapers
10:34
Selection Bias and Data Attrition
09:37
The Importance of Context
05:15
The Incorrect Normalization of the Data
07:05
The Simpson's Paradox
06:19

Plots: Find the correct plot for your data

7 lectures
Wait, do you really need a plot?
03:08
Types of Plots
01:58
Plotting Distributions
07:51
Plotting Relationships between variables
11:00
Plotting Rankings
09:02
Comparing Part to Whole
06:44
Plotting spatial data: Maps
11:23

Plot Crimes

7 lectures
Introduction to the chapter
00:28
When is it okay to cut the Y-axis?
08:48
Shading the Area of a Line Plot
05:22
The Spaghetti Chart
03:08
Error bars and the Dynamite Plot
07:02
How to choose the right colors
10:00
Common mistakes with color
06:38

What Next?

1 lectures
Congratulations! What now?
01:55

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