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Duration 14 hours
Course Outline
Introduction to Data Storytelling
- Defining 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 requirements
- Designing for technical and non-technical stakeholders
- Establishing the tone: persuasive, explanatory, or exploratory
Selecting the Right Visuals
- Determining when to use bar charts, line graphs, scatter plots, etc.
- Common pitfalls in visual encoding
- Utilizing color, layout, and hierarchy for better storytelling
Structuring the Narrative
- Articulating the “so what” behind your data
- Storyboarding and sequencing visuals
- Incorporating annotations and visual cues
Practical Tools and Techniques
- Foundations of Excel, Power BI, Tableau, and Google Data Studio
- Storytelling through slides and dashboards
- Leveraging templates and reusable structures
Workshop and Critique
- Collaborative analysis of example stories
- Before-and-after visual enhancements
- Peer reviews of draft storyboards
Summary and Next Steps
Requirements
- A solid grasp of basic data visualization principles
- Hands-on experience with charts, graphs, or dashboards
- Proficiency with spreadsheets or visualization software
Target Audience
- Data analysts
- Communicators in the public sector
- Policy advisors and managers responsible for interpreting data
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.
