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Course Outline

Data Relationships and Corresponding Charts

Design Principles

Introduction

Perception in Data Visualization

Practical Examples of Implementing Design Principles Using Tableau

Summary and Next Steps:

  • Chart Selection
  • Visual Hierarchy
  • Formatting (labels, legends, tooltips)
  • Custom Palettes
  • Layout
  • Legibility
  • Storytelling
  • Distributions
  • Correlations
  • Geospatial Analysis
  • Comparison
  • Time Series
  • Ranking
  • Deviation
  • Part-to-Whole Relationships
  • Recommended Resources for Further Learning
  • Human Perception and Cognitive Load
  • Reading Patterns
  • Pre-attentive Attributes
  • Gestalt Laws
  • Effective Use of Color
  • Visual Hierarchies
  • Inclusive Design
  • The Importance of Data Visualization
  • Human Perception
  • Cognitive versus Perceptual Design
  • Cognitive Load

Requirements

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

Setup Requirements:
None required

This course presupposes that participants possess a working knowledge of Tableau tools and have some foundational understanding of data visualization concepts.

 14 Hours

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