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Course Outline
Overview of Data Storytelling
- Definition and significance of data storytelling for government
- Key components: narrative structure, visual representation, and underlying data
- Application in public sector and organizational contexts
Assessing Audience Requirements and Context
- Identifying stakeholder needs and information gaps
- Adapting content for technical and non-technical audiences
- Establishing the appropriate communication tone: explanatory, persuasive, or exploratory
Selecting Appropriate Visualizations
- Guidance on selecting charts, graphs, and plots such as bar, line, and scatter visualizations
- Avoiding common errors in visual data encoding
- Utilizing color, layout, and hierarchy to enhance clarity
Developing the Narrative Framework
- Clarifying the core insight or “so what” of the data analysis
- Planning visual sequences and storyboards
- Implementing annotations and visual cues to guide interpretation
Application of Tools and Techniques
- Foundational use of Excel, Power BI, Tableau, and Google Data Studio for government analysts
- Approaches for slide-based presentations and interactive dashboards
- Leveraging standardized templates and reusable frameworks
Collaborative Review and Critique
- Collective analysis of sample narratives
- Evaluation of visual improvements through before-and-after comparisons
- Incorporating peer feedback during the storyboard development phase
Conclusion and Future Directions
Requirements
- Demonstrated knowledge of foundational data visualization concepts
- Practical experience in the development of charts, graphs, or analytical dashboards
- Proficiency with spreadsheet applications or specialized visualization software
Target Audience
- Data analysts
- Communications professionals within the public sector
- Policy advisors and managers responsible for interpreting data for government decision-making
14 Hours
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Equipped with examples