YoVDO

Learning Data Visualization

Offered By: LinkedIn Learning

Tags

Data Visualization Courses Accessibility Courses Visual Design Courses Color Theory Courses Data Storytelling Courses

Course Description

Overview

Communicate complex ideas quickly and thoroughly with data visualization. Entice and inform your audience with effective, and maybe creative, design.

Syllabus

Introduction
  • The essence of data visualization
1. Big Idea
  • What is data visualization?
  • Ask what makes a good data visualization
  • Why visualize data?
2. What to Think About
  • Three focal points
  • What your data is saying
  • What your audience needs to hear
  • What you really want to say
  • Explanatory vs. exploratory
  • The true "so what" and goals
  • Human visual perception and pre-attentive processing
3. Selecting the Visualization Type
  • Choose charts with intention
  • Cheat sheets
  • What goes in the chart?
  • Comparison visualizations
  • Correlation visualizations
  • Distribution visualizations
  • Composition visualizations
  • Geographic visualizations
  • Flow visualizations
  • Hierarchical visualizations
  • Creative, innovative visualizations
  • Other factors when choosing visualizations
4. Designing Visualizations for Impact
  • The importance of sketching
  • What's the "so what"?
  • Pre-attentive processing and design
  • Keeping it fresh and predictable
  • Thoughtful use of color
  • Setting scales
  • Labels and annotations
  • Making numbers relatable
  • Accessibility
  • When and how to use animation and interactivity
  • Ruthless editing
Conclusion
  • Next steps

Taught by

Bill Shander

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