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Duration 14 hours
Course Outline
Introduction to Data Storytelling
- The definition of data storytelling and its significance
- Core components of effective narratives: story arc, visuals, and data
- Typical applications in public and corporate environments
Understanding the Audience and Context
- Identifying the audience and their specific requirements
- Tailoring content for technical versus non-technical stakeholders
- Determining the tone: persuasive, explanatory, or exploratory
Selecting Appropriate Visuals
- Guidance on when to utilize bar charts, line graphs, scatter plots, and other visualizations
- Avoiding common errors in visual encoding
- The role of color, layout, and hierarchy in narrative construction
Building the Narrative
- Defining the 'so what' factor of your data insights
- Storyboarding and sequencing visual elements effectively
- Incorporating annotations and visual cues to guide the viewer
Practical Tools and Techniques
- Foundational skills in Excel, Power BI, Tableau, and Google Data Studio
- Storytelling approaches for slide-based presentations and dashboards
- Utilizing templates and reusable structural frameworks
Workshop and Critique
- Collective analysis of illustrative data stories
- Comparing before-and-after visual refinements
- Peer review and feedback on draft storyboards
Summary and Next Steps
Requirements
- Foundational knowledge of data visualization principles
- Practical experience working with charts, graphs, or dashboards
- Familiarity with spreadsheet applications or visualization software
Target Audience
- Data analysts
- Public sector communications specialists
- 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.
