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Course Outline
Introduction to Data Storytelling
- Definition of data storytelling and its significance
- Key components: narrative, visuals, and data
- Common applications in public and corporate environments
Understanding Audience and Context
- Identifying audience needs and expectations
- Tailoring content for technical vs. non-technical stakeholders
- Establishing tone: persuasive, explanatory, or exploratory
Selecting Effective Visuals
- Appropriate use of bar charts, line graphs, scatter plots, etc.
- Common errors in visual encoding
- Strategic use of color, layout, and hierarchy
Building the Narrative
- Clarifying the implications of your data
- Storyboarding and sequencing visual elements
- Utilizing annotations and visual cues effectively
Tools and Techniques in Practice
- Basics of Excel, Power BI, Tableau, and Google Data Studio
- Storytelling via slides and interactive dashboards
- Leveraging templates and reusable frameworks
Workshop and Peer Review
- Collective analysis of case studies
- Visual before-and-after transformations
- Peer feedback on initial storyboards
Conclusion and Future Actions
Requirements
- Foundational understanding of data visualization principles.
- Hands-on experience with charts, graphs, or dashboards.
- Familiarity with spreadsheets or data visualization software.
Target Audience
- Data analysts.
- Communicators within the public sector.
- Policy advisors and managers responsible for interpreting 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.
