- Upon completion of this course you will be able to:
- Structure a story and decide on compelling visualizations.
- Apply a set of data visualization principles that maximize the ability to use numbers to tell a story.
- Utilize a process to critique and refine visualizations.
- Business Analyst (IT and non-IT)
- Project Leaders/Project Managers
- Systems Analyst
- Data Analyst
The structure of the courses assumes no prior experience in statistics or data analytics. It does require basic knowledge of how to use Tableau.
Outline for Communicating with Data Using Tableau Training
Chapter 1. Introduction
Chapter 2. Theoretical Foundations of Visualizations
- Understanding visual perception
- How visualizations work
- Data types and visual attributes
Chapter 3. Visualization Guidelines
- Chart Types
Chapter 4. Story Structures
- Minto Pyramid
- Beats and Spine
- Characters (The People or Data Debate)
- CASE – Contention, Argument, Source & Evidence
- Freytag’s Pyramid
Chapter 5. Finding Your Story
- Examining your Analysis
- 10,000 to 10: The Most Salient Facts
- Conclusions & Recommendations
Chapter 6. How to Tell Stories with Visualizations
- Reports (Dashboards) vs. Presentations
- Learning to Critique a Story its Visualizations