Persuasive and Beautiful Data Visualizations
4.0 (1 rating)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
13 students enrolled

Persuasive and Beautiful Data Visualizations

Principles and Examples of Great Visualizations
4.0 (1 rating)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
13 students enrolled
Created by James Ralston
Last updated 10/2018
English
English [Auto-generated]
Current price: $132.99 Original price: $189.99 Discount: 30% off
5 hours left at this price!
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This course includes
  • 2 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Students will be able to make clear, persuasive, beautiful data visualizations that set them apart from others.
Requirements
  • Have a basic understanding of charts, graphs and data visualizations.
Description

A course about the first principles and best practices for making data visualizations that are beautiful and persuasive. In this course the student will learn what sets apart a great data visualization from a typical one. From amplifying the data within the image to judicious use of color, to bold new techniques and charting forms, this short course delivers a powerful introduction to the topic. With exemplary examples and case studies throughout, the course will change how you view data visualizations forever.

Who this course is for:
  • Anyone who has to reason about data or make presentations about data.
Course content
Expand 12 lectures 01:52:42
+ Introduction
12 lectures 01:52:42
Visual Perceptions
06:59

In this lecture students will learn the benefits of removing from their visualizations everything doing no useful work.

Pixel Elimination
09:50
Differences Make a Difference
14:27
Parallelism and Small Multiples
06:05
Deviations in Time
10:25
Bullet Graphs
03:22
Spark Lines and Data Words
07:31
Maps for Data
08:23
Dashboards
19:37
Data Visualizations are Serious: A Case Study
10:46