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Course Outline
Introduction to Data Storytelling
- Definition of data storytelling and its importance
- Core elements of effective stories: narrative, visuals, and data
- Common applications in public and corporate settings
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
- Guidelines for using bar charts, line graphs, scatter plots, and other visualizations
- Avoiding common pitfalls in visual encoding
- The role of color, layout, and hierarchy in storytelling
Structuring the Narrative
- Defining the "so what" of your data
- Storyboarding and visual sequencing
- Leveraging annotations and visual cues
Practical Tools and Techniques
- Basics of Excel, Power BI, Tableau, and Google Data Studio
- Storytelling via slides and dashboards
- Utilizing 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
- Understanding of basic 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.
