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 times are listed Eastern time
This is a 2-day class
Price : $1,800.00
NERCOMP Price : $1,710.00
Available Class Dates
| Request |
When |
Time |
Where |
How |
| Register |
01/23/2025 |
11:30AM - 8:00PM |
Online |
VILT |
| Register |
02/04/2025 |
9:30AM - 6:00PM |
Online |
VILT |