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Course Outline
Data Relationships and Corresponding Charts
Design Principles
Introduction
Perception in Data Visualization
Practical Implementation of Design Principles Using Tableau
Summary and Next Steps:
- Chart selection strategies.
- Establishing visual hierarchy.
- Formatting elements (labels, legends, tooltips).
- Creating custom palettes.
- Layout optimization.
- Ensuring legibility.
- Crafting compelling stories.
- Analyzing distributions.
- Exploring correlations.
- Geospatial data representation.
- Comparison techniques.
- Time series analysis.
- Ranking data.
- Identifying deviations.
- Part-to-whole relationships.
- Curated resources for continued learning.
- Human perception and cognitive load.
- Understanding reading patterns.
- Pre-attentive attributes.
- Gestalt laws.
- Strategic use of color.
- Visual hierarchies.
- Inclusive design principles.
- The significance of data visualization.
- Human perception fundamentals.
- Cognitive versus perceptual design.
- Managing cognitive load.
Requirements
Target Audience:
Data analysts, data scientists, and front-end developers.
Setup Requirements:
None required.
Prerequisites include a working knowledge of Tableau tools and a foundational understanding of data visualization concepts.
14 Hours
Testimonials (2)
Experimenting with tools
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