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Course Outline
Introduction to Data Storytelling
- Understanding data storytelling and its significance
- Key elements of effective stories: narrative, visuals, and data
- Common applications in public and corporate environments
Understanding the Audience and Context
- Identifying your audience and their needs
- Designing for technical versus non-technical stakeholders
- Setting the tone: persuasive, explanatory, or exploratory
Choosing the Right Visuals
- Appropriate use of bar charts, line graphs, scatter plots, and other formats
- Avoiding common pitfalls in visual encoding
- Utilizing color, layout, and hierarchy in storytelling
Structuring the Narrative
- Clarifying the 'so what' of your data
- Storyboarding and visual sequencing
- Employing annotations and visual cues
Practical Tools and Techniques
- Basics of Excel, Power BI, Tableau, and Google Data Studio
- Storytelling through slides and dashboards
- Leveraging templates and reusable structures
Workshop and Critique
- Group analysis of example stories
- Visual transformations from before to after
- Peer feedback on draft storyboards
Summary and Next Steps
Requirements
- Understanding of fundamental data visualization principles
- Experience working with charts, graphs, or dashboards
- Familiarity with spreadsheets or visualization tools
Audience
- Data analysts
- Public sector communicators
- Policy advisors and managers who interpret data
14 Hours
Testimonials (2)
Doing Exercise
Joe Pang - Lands Department, Hong Kong
Course - QGIS for Geographic Information System
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
