Data Storytelling
Course Objective
All students will learn to:
- Understand the difference between exploratory and explanatory analysis
- Distinguish between data visualization and data storytelling
- Learn the data storytelling process
- Ask the right questions to impact business decisions
- Choose the appropriate story type for the data story
- Construct the data story
- Identify common pitfalls of data analysis and visualization
Course Outline
Part 1: Set Up/Context
- Understanding the difference between data visualization and data storytelling
- The data storytelling process overview
- Question/problem statement/ obtain context
- Analysis
- Exploratory to get to Explanatory
- Select your data story type
- Sketch
- Communicate
- Which storybook (the different ways to communicate your data story) should you use
Part 2: Analysis
- Exploratory Analysis
- 5 Types of Analysis
Part 3: Select Your Data Story
- Seven types of data stories
- Using secondary characters:
Part 4: Sketch
- How will this be visually represented?
- Sketch it out considering:
- Purpose
- Audience
- Rising Action
- Climax/Peak
- Conclusion/Ending
Part 5: Communicate
Communicating through story “books”
- Dashboard
- Slide deck/Story Points
- Written/oral report
Duration
1 to
2
Materials
Manual and supporting materials included.
Prerequisites
All students should have prior experience working with corporate reporting.
Software Requirements
A data visualization tool, such as Microsoft Excel, Tableau, Power BI
