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Course Outline
Introduction to Data Storytelling
- The definition of data storytelling and its significance
- Core components of effective stories: narrative, visuals, and data
- Typical applications in public and corporate environments
Understanding the Audience and Context
- Identifying your audience and their specific requirements
- Tailoring content for technical versus non-technical stakeholders
- Establishing the appropriate tone: persuasive, explanatory, or exploratory
Selecting Appropriate Visuals
- Determining when to utilize bar charts, line graphs, scatter plots, and other types
- Identifying common pitfalls in visual encoding
- The role of color, layout, and hierarchy in narrative delivery
Structuring the Narrative
- Clarifying the significance (“so what”) of your data
- Storyboarding and arranging visual sequences
- Incorporating annotations and visual cues
Practical Tools and Techniques
- Fundamentals of Excel, Power BI, Tableau, and Google Data Studio
- Narrative techniques for slide-based and dashboard-based formats
- Leveraging templates and reusable structures
Workshop and Critique
- Collective analysis of sample stories
- Demonstrating visual improvements through before-and-after comparisons
- Receiving peer feedback on preliminary storyboards
Summary and Next Steps
Requirements
- Familiarity with fundamental data visualization principles
- Experience utilizing charts, graphs, or dashboards
- Proficiency with spreadsheets or visualization software
Target Audience
- Data analysts
- Public sector communicators
- Policy advisors and managers involved in data interpretation
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
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Tshering Dorji - Druk Holding and Investments
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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.