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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. Turn information into artwork and intrigue your audience.

Syllabus

Introduction
  • Welcome
1. Big Idea
  • 4x4 model for knowledge content
  • Channel your audience
  • So what is data visualization?
  • ASK what makes a good data visualization
  • Visual perception
  • Understanding your data
2. Information Hierarchy
  • Explanatory
  • The six Ws
  • Three more Ws
  • Explore your data: Visual exploration
  • Explore your data: Indexes and ratios
  • Convert your data: Indexes and ratios
  • Convert your data: Percentiles
  • Convert your data: Aggregating
  • Convert your data: Grouping
  • Convert your data: Data formats
3. The Analog Process
  • Sketches and wireframes
4. Storytelling
  • Defining your narrative
  • Making everything relatable
5. Visual Display
  • Illustration and iconography
  • Typography
  • Position, size, color, contrast, and shape
  • The importance of scale
  • Legends and sources
  • The right paradigm: Basic charts
  • The right paradigm: Alternative charts
  • The right paradigm: Hierarchical data
  • The right paradigm: Maps
  • The right paradigm: Creativity and innovation
  • Challenge: Improving on "The perfect report"
  • Solution: Improving on "The perfect report"
6. Interactivity
  • Introducing motion
  • When to go interactive
  • How to think interactively
  • Finding the right technology
Conclusion
  • Next steps

Taught by

Bill Shander

Reviews

4.7 rating at LinkedIn Learning based on 1577 ratings

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