Mastering Data Visualization: Theory and Foundations
- Offered byUDEMY
Mastering Data Visualization: Theory and Foundations at UDEMY Overview
Duration | 5 hours |
Total fee | ₹399 |
Mode of learning | Online |
Credential | Certificate |
Mastering Data Visualization: Theory and Foundations at UDEMY Highlights
- 30-Day Money-Back Guarantee
- Certificate of completion
- Full lifetime access
- Learn from 1 article
Mastering Data Visualization: Theory and Foundations at UDEMY Course details
- 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!
- 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!
Mastering Data Visualization: Theory and Foundations at UDEMY Curriculum
Introduction
Introduction
About this course: the 5 Ws
Examples of Data Visualization
The Problem with Data Visualization
Graphical Perception
A very quick interruption...
Introduction to this Chapter
The science of human graphical perception
The Elementary Perceptual Tasks (Part 1)
The Elementary Perceptual Tasks (Part 2)
How good is your Graphical Perception?
The Ranking of the Elementary Perceptual Tasks
Identify the Elementary Perceptual Tasks
Redesigning charts
The Golden Rules of Data Visualization
Introduction to this Chapter
Graphical Excellence
Graphical Distortion
Graphical Integrity: The Lie Factor
Exercise: Calculate the Lie Factor (updated!)
Labeling and Annotation
Data Variation vs. Design Variation
The problem with dimensions
Some advice regarding dimensions
The Data-Ink Ratio
Data Density
Proportion and Scale
Statistical Traps: How not to fall in them
Correlation doesn't sell newspapers
Selection Bias and Data Attrition
The Importance of Context
The Incorrect Normalization of the Data
The Simpson's Paradox
Plots: Find the correct plot for your data
Wait, do you really need a plot?
Types of Plots
Plotting Distributions
Plotting Relationships between variables
Plotting Rankings
Comparing Part to Whole
Plotting spatial data: Maps
Plot Crimes
Introduction to the chapter
When is it okay to cut the Y-axis?
Shading the Area of a Line Plot
The Spaghetti Chart
Error bars and the Dynamite Plot
How to choose the right colors
Common mistakes with color
What Next?
Congratulations! What now?