Data Visualization: Storytelling
1h 31mIntermediate2024-04-09
Authors

Bill Shander
CEO and Founder of Beehive Media
Course details
We are wired for story. We crave it. Storytelling has played an integral role in our ability to make progress as a species. It should come as no surprise, then, that presenting data and information in story form maximizes the effectiveness of our communication. We can create deeper emotional responses in our audience when we present data in story form.
Join data visualization expert Bill Shander as he guides you through the process of turning "facts and figures" into "story" to engage and fulfill our human expectation for information. This course is intended for anyone who works with data and has to communicate it to others, whether a researcher, a data analyst, a consultant, a marketer, or a journalist. Bill shows you how to think about, and craft, stories from data by examining many compelling stories in detail.
Join data visualization expert Bill Shander as he guides you through the process of turning "facts and figures" into "story" to engage and fulfill our human expectation for information. This course is intended for anyone who works with data and has to communicate it to others, whether a researcher, a data analyst, a consultant, a marketer, or a journalist. Bill shows you how to think about, and craft, stories from data by examining many compelling stories in detail.
Skills covered
Data VisualizationBusiness IntelligenceData ScienceBusiness Analysis and StrategyBusiness Software and ToolsOne-Off
Concepts
0. Introduction
- 01 - The art of storytelling
1. Why Storytelling
- 02 - Humans are wired for story
- 03 - Data storytelling is essential, except when it isn't
- 04 - Using story even when you don't
2. Story Structure
- 05 - The KWYs
- 06 - Story components
- 07 - Finding the story in your data
- 08 - Outlining your story
- 09 - Use your words
- 10 - Sketching ideas
3. Story Mechanisms
- 11 - Change over time
- 12 - Linear logic
- 13 - Flow diagrams
- 14 - Compare and contrast
- 15 - Progressive depth
- 16 - Personalization
- 17 - Text
4. Final Touches
- 18 - Labeling
- 19 - Eye candy
- 20 - Repetition and redundancy
- 21 - Relatability
- 22 - Don't be afraid of complexity
Conclusion
- 23 - Next steps