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Course Outline
Introduction to Data Storytelling
- Defining data storytelling and its significance
- Core elements of effective stories: narrative, visuals, and data
- Common use cases in public and corporate settings
Understanding the Audience and Context
- Identifying your audience and their specific needs
- Designing for technical vs. non-technical stakeholders
- Setting the tone: persuasive, explanatory, or exploratory
Choosing the Right Visuals
- When to utilise bar charts, line graphs, scatter plots, and more
- Common pitfalls in visual encoding
- The role of colour, layout, and hierarchy in storytelling
Structuring the Narrative
- Defining the “so what” of your data
- Storyboarding and visual sequencing
- Incorporating annotations and visual cues
Practical Tools and Techniques
- Basics of Excel, Power BI, Tableau, and Google Data Studio
- Slide-based and dashboard-based storytelling approaches
- Utilising 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
- An understanding of fundamental data visualisation principles
- Experience working with charts, graphs, or dashboards
- Familiarity with spreadsheets or visualisation tools
Audience
- Data analysts
- Public sector communicators
- Policy advisors and managers who interpret data
14 Hours
Testimonials (3)
Learning that the QGIS and a tool that can used by other different professionals such land survey
Bame Duncan Koko - Bentel Technologies (Pty) Ltd
Course - QGIS for Geographic Information System
How to use open satellites data for real applications
Tshering Dorji - Druk Holding and Investments
Course - Advanced Geographic Information Systems (GIS)
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.
