Tableau Visual Analytics Training

Tableau Visual Analytics training will teach you the best practices for sharing insights and information with others. This Visual Analytics training helps you create a visualization that others can easily use and understand.

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Course Overview

Tableau Visual Analytics training will teach you the best practices for sharing insights and information with others.

This Visual Analytics training helps you create a visualization that others can easily use and understand.

Mode of Training

🏫 Classroom 💻 Live Online 🧪 Blended 👨‍👩‍👧‍👦 Private Group

What you will learn

  • Use chart types to answer questions.
  • Create visualization to inform viewers without misleading them.
  • Create stories and dashboards utilizing visual best practices.
  • Create visualizations to leverage sensory and short-term memory effectively.

Who Should Attend This Course?

You must be an experienced Tableau user who wants to learn about the best practices for conveying insights and information.

This Visual Analytics training course will help users create a visualization that viewers can easily use and understand.

This training utilizes Tableau to discuss and develop visualizations, but it doesn't include instructions on how to use Tableau products - we assume that you know how to use and navigate Tableau.

 

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📘 Tableau Visual Analytics Outline

  • 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
  • Length
  • Width
  • Size
  • Orientation
  • Shape
  • Enclosure
  • 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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