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Course Outline
Foundations of Data Storytelling
- The definition of data storytelling and its significance
- Core components of effective narratives: story, visuals, and data
- Typical applications in public and corporate environments
Analyzing Audience and Context
- Identifying the audience and their specific needs
- Tailoring content for technical and non-technical stakeholders
- Establishing the tone: persuasive, explanatory, or exploratory
Selecting Appropriate Visuals
- Optimal times to employ bar charts, line graphs, scatter plots, and others
- Common errors in visual encoding
- Utilizing color, layout, and hierarchy for storytelling
Constructing the Narrative
- Clarifying the "so what" behind the data
- Storyboarding and sequencing visuals
- Incorporating annotations and visual cues
Practical Tools and Methods
- Basics of Excel, Power BI, Tableau, and Google Data Studio
- Storytelling through slides and dashboards
- Leveraging templates and reusable structures
Workshop and Review
- Collective analysis of sample stories
- Visual transformations before and after
- Peer evaluation of draft storyboards
Conclusion and Future Steps
Requirements
- A grasp of fundamental 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 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
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.
