Tableau Visual Analytics (TVA101)

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Course Overview

Discover how to visualize data in Tableau Desktop. In this 2-day instructor-led course, learn how to effectively display data insights in Tableau, tailor visualizations based on data type, and avoid data misrepresentation.

Who Should Attend

  • This course is designed for experienced Tableau users who are responsible for visualizing data with Tableau Desktop

Course Objectives

    • Design visualizations that reduce cognitive load to effectively leverage short-term memory.
    • Build visualizations that align with pre-attentive attributes to effectively harness sensory memory.
    • Craft visualizations to inform viewers without misleading them.
    • Harness appropriate chart types to answer specific questions.
    • Construct dashboards and stories using visual best practices.

Course Outline

1. Visual Analytics Process

  • Define Visual Analytics
  • Follow the Visual Analytics Process
  • Recognize Advantages of Visual Analysis

2. Memory and Processing

  • Distinguish Between Memory and Processing Types

3. Short-Term Memory

  • Define Cognitive Load
  • Focus and Guide the Viewer
  • Remove Visual Distractions
  • Organize Information into Chunks
  • Design for Contiguity

4. Sensory Memory: Overview

  • Describe Pre-attentive Attributes
  • Define Quantitatively-Perceived Attributes
  • Understand Categorically-Perceived Attributes

5. Sensory Memory: Form

  • Describe Key Form Attributes
  • Define Length
  • Measure Width
  • Understand Size
  • Determine Orientation
  • Apply Shape
  • Build an Enclosure

6. Sensory Memory: Color

  • Define Color Attributes
  • Describe Color Relativity
  • Understand Color Vision Deficiency
  • Select a Color Hue
  • Determine Color Intensity

7. Sensory Memory: Position

  • Define Position Attributes
  • Describe 2-D Position
  • Understand Spatial Grouping

8. Informing Without Misleading

  • Follow Gestalt Principles
  • Test Visual Area Assumptions
  • Determine Axis Assumptions
  • Assess Color Assumptions
  • Decide an Appropriate Amount of Detail

9. Charts for Viewing Specific Values

  • Ask Questions that Lead To Viewing Specific Values
  • Select Chart Types for Viewing Specific Values
  • Follow Best Practices for Viewing Specific Values

10. Charts for Comparing and Ranking Categories

  • Ask Questions that Lead To Comparing and Ranking Categories
  • Select Chart Types for Comparing and Ranking Categories
  • Follow Best Practices for Comparing and Ranking Categories

11. Charts for Comparing Parts to Whole

  • Ask Questions that Lead To Comparing Parts to Whole
  • Select Chart Types for Comparing Parts to Whole
  • Follow Best Practices for Comparing Parts to Whole

12. Charts for Comparing Measures

  • Ask Questions that Lead To Comparing Measures
  • Select Chart Types for Comparing Measures
  • Follow Best Practices for Comparing Measures

13. Charts for Viewing Correlation

  • Ask Questions that Lead To Viewing Correlation
  • Select Chart Types for Viewing Correlation
  • Follow Best Practices for Viewing Correlation

14. Charts for Viewing Distributions

  • Ask Questions that Lead to Viewing Distributions
  • Select Chart Types for Viewing Distributions
  • Follow Best Practices for Viewing Distributions

15. Charts for Viewing Data Over Time

  • Ask Questions that Lead To Viewing Data Over Time
  • Select Chart Types for Viewing Data Over Time
  • Follow Best Practices for Viewing Data Over Time

16. Charts for Mapping

  • Ask Questions that Lead To Mapping
  • Select Chart Types for Mapping
  • Follow Best Practices for Mapping

17. Dashboards and Stories

  • Follow the Development Process for Dashboards and Stories
  • Plan the Visualization
  • Create the Visualization
  • Test the Visualization

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Class Dates & Times

Class times are listed Eastern time

This is a 2-day class

Price: $1,800.00

Class dates not listed.
Please contact us for available dates and times.