Course Outline

Data Relationships and Corresponding Charts

Design Principles

Introduction

Perception of Data Visualization

Practical Examples of Implementing Design Principles Using Tableau for Government

Summary and Next Steps:

  • Chart Selection
  • Visual Hierarchy
  • Formatting (Labels, Legends, Tooltips)
  • Custom Palettes
  • Layout
  • Legibility
  • Storytelling
  • Distributions
  • Correlations
  • Geospatial
  • Comparison
  • Time Series
  • Ranking
  • Deviation
  • Part-to-Whole
  • Helpful Resources for Further Learning
  • Human Perception and Cognitive Load
  • Reading Patterns
  • Pre-Attentive Attributes
  • Gestalt Laws
  • Usage of Color
  • Visual Hierarchies
  • Inclusive Design
  • Importance of Data Visualization for Government
  • Human Perception
  • Cognitive Versus Perceptual Design
  • Cognitive Load

Requirements

Audience:
Data analysts, data scientists, front-end developers for government

Set-up Requirements:
None required

This course is designed for individuals who are familiar with the tools within Tableau and have a foundational understanding of data visualization concepts.

 14 Hours

Number of participants


Price per participant

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