Course Outline
Data Relationships and corresponding charts
Design Principles
Introduction
Perception of 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
- 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 the color
- Visual hierarchies
- Inclusive design
- Importance of data visualization
- Human perception
- Cognitive versus perceptual design
- Cognitive load
Requirements
Audience:
Data analysts, data scientists, front-end developers
Set-up Requirements:
Not needed
This course assumes you understand the tools within Tableau and have some knowledge of the fundamental concepts of data visualization.
Testimonials (3)
The exchange, listening, and explanations
Romain LECREUX - Inetum
Course - Advanced Grafana
Machine Translated
See Figma's powerful tools
Emile Ste-Marie - Loto-Quebec
Course - User Experience Design with Figma
Machine Translated
Real world knowledge from someone in the industry