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Learning Data Visualization

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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

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

Reviews

4.7 rating at LinkedIn Learning based on 1672 ratings

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