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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, and front-end developers
Set-up Requirements:
None required
This course assumes you have a working knowledge of the tools within Tableau and possess some understanding of the fundamental concepts of data visualization.
14 Hours
Testimonials (2)
Experimenting with tools
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