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Information Visualization: Applied Perception

Approx. 12 hours to complete

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Course Summary

This course is designed to teach students how to create effective visualizations of data using principles of perception and cognitive psychology. Students will learn how to use tools like D3.js and Tableau to create engaging and informative visualizations.

Key Learning Points

Learn principles of perception and cognitive psychology to create effective visualizations
Use tools like D3.js and Tableau to create engaging and informative visualizations
Understand best practices for designing visualizations for different audiences

Learning Outcomes

Create effective visualizations of data
Understand principles of perception and cognitive psychology as they apply to data visualization
Use tools like D3.js and Tableau to create engaging and informative visualizations

Prerequisites or good to have knowledge before taking this course

Basic programming skills in JavaScript
Familiarity with data analysis and statistics

Course Difficulty Level

Intermediate

Course Format

Online self-paced course
Video lectures
Hands-on projects

Similar Courses

Data Visualization with Python
Visual Analytics with Tableau
Data Visualization for All

Related Education Paths

Notable People in This Field

Edward Tufte
Stephen Few

Related Books

Description

This module aims at introducing fundamental concepts of visual perception applied to information visualization. These concepts help the student ideate and evaluate visualization designs in terms of how well they leverage the capabilities of the human perceptual machinery.

Outline

Applied Perception for Information Visualization
Introduction to Specialization Video
Introduction to the Course Video
What is “Applied Perception”? Why Study It?
Human Visual Processing System
Saccadic Eye Movement
Role of Attention In Visual Perception
Visual Queries
What We Can Easily See
Recapitulation of Key Concepts
Mapping Between Data Properties
Expressiveness of Visual Channel
Example 1 of How to Express Quantity With Different Channels
Example 2 of How to Express the Idea of Order With Different Channels
Example 3 of How to Express Categories With Different Channels
Week 1

Effectiveness of Visual Channels
Effectiveness of Visual Channels
Experiments in "Graphical Perception"
Implications for Design (Accuracy)
Discriminability
Implications for Design (Discriminability)
Salience (Pop-out)
Non Preattentive Features
Implications for Design (Salience)
Separability
Implications for Design (Separability)
Grouping: Similarity and Proximity
Grouping: Connection and Enclosure
Hierarchy Within Grouping Techniques
Grouping: Closure and Continuity
Recapitulation
Graphical Perception (Optional)
Week 2

Color Perception and Color Spaces
Visualizing data with color
Few Examples: Misusing Color in Visualization
Color Perception
Color Specification
Color Space: RGB
Color Space: HSV / HSL
Color Space: CIE Lab/ Luv Part 1
Color Space: CIE Lab/ Luv Part 2
Color Space: CIE Lch/ HCL
Quick Summary
Subtleties of Color, Part 1
How The Rainbow Color Map Misleads
How NOT to Lie with Visualization
Week 3

Using Color in Visualization
Using Color in Visualization
Quantitative Color Scales
Multi-hue Sequential Scales
Categorical Color Scales Part 1
Categorical Color Scales Part 2
Diverging Color Scales
Using Color to Highlight & Emphasize
Perceptual Issues With Color
Effect of Size
Contrast Effects
Luminance for Contrast
Background and Perception
Color Tools
Interview with Bernice Rogowitz
Subtleties of Color, Parts 2-5

Summary of User Reviews

Discover the power of information visualization with the Applied Perception course on Coursera. This highly rated course teaches you how to create effective visualizations that communicate complex data in a clear and concise manner. Users praise the course for its engaging content and valuable insights into the art and science of data visualization.

Key Aspect Users Liked About This Course

Users appreciate the course's emphasis on the importance of perception in creating effective visualizations.

Pros from User Reviews

Engaging content that keeps users interested and motivated
Insightful lessons on how to design effective visualizations
Numerous opportunities to practice applying concepts in real-world scenarios

Cons from User Reviews

Some users found the course to be too basic and lacking in advanced topics
Occasional technical difficulties with the online platform
Lack of interaction with the instructor and other students

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