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Course Outline
Introduction to Data Storytelling
- What is data storytelling and why it matters.
- Elements of effective stories: narrative, visuals, data.
- Common use cases in public and corporate settings.
Understanding the Audience and Context
- Who is your audience and what do they need?
- Designing for technical vs. non-technical stakeholders.
- Setting the tone: persuasive, explanatory, exploratory.
Choosing the Right Visuals
- When to use bar charts, line graphs, scatter plots, and more.
- Common missteps in visual encoding.
- Color, layout, and hierarchy in storytelling.
Structuring the Narrative
- Defining the “so what” of your data.
- Storyboarding and visual sequencing.
- Using annotations and visual cues.
Practical Tools and Techniques
- Excel, Power BI, Tableau, Google Data Studio basics.
- Slide-based and dashboard-based storytelling.
- Using templates and reusable structures.
Workshop and Critique
- Group analysis of example stories.
- Before-and-after visual transformations.
- Peer feedback on draft storyboards.
Summary and Next Steps
Requirements
- A fundamental understanding of 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.
