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LinkedIn Learning

Learning Data Visualization

via LinkedIn Learning

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Overview

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

Syllabus

Introduction
  • Create real insights with data
1. Big Idea
  • What is data visualization?
  • Ask what makes a good data visualization
  • Why visualize data?
  • Where does AI fit in?
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
  • Keep learning

Taught by

Bill Shander

Reviews

4.7 rating at LinkedIn Learning based on 2421 ratings

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