Course Outline

Introduction

Perception of data visualization

  • Importance of data visualization
  • Human perception
  • Cognitive versus perceptual design
  • Cognitive load

Design Principles

  • Human perception and cognitive load
  • Reading patterns
  • Pre-attentive attributes
  • Gestalt laws
  • Usage of the color
  • Visual hierarchies
  • Inclusive design

Data Relationships and corresponding charts

  • Distributions
  • Correlations
  • Geospatial
  • Comparison
  • Time Series
  • Ranking
  • Deviation
  • Part-to-whole

Practical examples of implementing design principles using Tableau

  • Chart selection
  • Visual Hierarchy
  • Formatting (labels, legends, tooltips)
  • Custom palettes
  • Layout
  • Legibility
  • Storytelling

Summary and Next Steps:

  • Helpful resources for further learning

Requirements

This course assumes you understand the tools within Tableau and have some knowledge of the fundamental concepts of data visualization.

Set-up Requirements:
Not needed

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

 14 Hours

Number of participants



Price per participant

Testimonials (5)

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