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Course Outline
Introduction to Data Storytelling
- The definition of data storytelling and its significance
- Core elements 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 vs. non-technical stakeholders
- Establishing the tone: persuasive, explanatory, or exploratory
Selecting Appropriate Visuals
- Determining when to utilize bar charts, line graphs, scatter plots, and others
- Common pitfalls in visual encoding
- The role of color, layout, and hierarchy in storytelling
Constructing the Narrative
- Defining the "so what" of 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
- Utilizing templates and reusable structures
Workshop and Peer Review
- Group analysis of example stories
- Visual transformations: before-and-after comparisons
- Peer feedback on draft storyboards
Conclusion and Next Steps
Requirements
- A foundational understanding of basic data visualization principles
- Experience working with charts, graphs, or dashboards
- Familiarity with spreadsheets or visualization tools
Target 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.
