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Tableau Visual Analytics (TVA101)
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OverviewDiscover the science behind the art of visualizing data in this example-rich course. You’ll learn which types of visualizations are best suited for different kinds of data, and the most effective ways to display your data insights in Tableau. Just as importantly, you’ll learn to avoid pitfalls that can result in misleading data presentation.
- Design visualizations that reduce cognitive load to effectively leverage short-term memory.
- Design visualizations that align with pre-attentive attributes to effectively leverage sensory memory.
- Design visualizations to inform viewers without misleading.
- Effectively use chart types to answer specific questions.
- Design dashboards and stories using visual best practices.
You are an experienced Tableau user who wants to learn more about best
practices for displaying information and insights in Tableau. Ideally, you have
taken the Tableau Desktop I: Fundamentals and Tableau Desktop II: Intermediate courses, but these are not official prerequisites. This course uses Tableau to develop and discuss visualizations, but does not include instruction on how to use Tableau.
- Visual Analytics
- Visual Analytics Process
- Advantages of Visual Analysis
- Memory and Processing Types
- Cognitive Load
- Focus and Guide the Viewer
- Remove Visual Distractions
- Organize Information into Chunks
- Design for Contiguity
- Preattentive Attributes
- Quantitatively-Perceived Attributes
- Categorically-Perceived Attributes
- Form Attributes
- Color Attributes
- Color Relativity
- Color Vision Deficiency
- Color Hue
- Color Intensity
- Sensory Memory: Position
- Position Attributes
- 2-D Position
- Spatial Grouping
- Gestalt Principles
- Visual Area Assumptions
- Axis Assumptions
- Color Assumptions
- Amount of Detail
- Questions that Lead to Viewing Specific Values
- Chart Types for Viewing Specific Values
- Best Practices and Considerations for Viewing Specific Values
- Questions that Lead to Comparing and Ranking Categories
- Chart Types for Comparing and Ranking Categories
- Best Practices and Considerations for Comparing and Ranking Categories
- Questions that Lead to Comparing Parts to Whole
- Chart Types for Comparing Parts to Whole
- Best Practices and Considerations for Comparing Parts to Whole
- Questions that Lead to Comparing Measures
- Chart Types for Comparing Measures
- Best Practices and Considerations for Comparing Measures
- Questions that Lead to Viewing Correlation
- Chart Types for Viewing Correlation
- Best Practices and Considerations for Viewing Correlation
- Questions that Lead to Viewing Distributions
- Chart Types for Viewing Distributions
- Best Practices and Considerations for Viewing Distributions
- Questions that Lead to Viewing Data Over Time
- Chart Types for Viewing Data Over Time
- Best Practices and Considerations for Viewing Data Over Time
- Questions that Lead to Mapping
- Chart Types for Mapping
- Best Practices and Considerations for Mapping
- Development Process for Dashboards and Stories
- Plan the Visualization
- Create the Visualization
- Test the Visualization
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