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
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Apolinary didn't just explain the processes, he explained the reason for the processes from personal experiences.
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