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Course Outline

Introduction to Data Storytelling

  • Defining data storytelling and its significance
  • Key components of effective stories: narrative, visuals, and data
  • Typical applications in public and corporate environments

Understanding Audience and Context

  • Identifying the target audience and their specific needs
  • Tailoring content for technical versus non-technical stakeholders
  • Establishing the appropriate tone: persuasive, explanatory, or exploratory

Selecting Appropriate Visuals

  • Determining when to use bar charts, line graphs, scatter plots, and other formats
  • Avoiding common errors in visual encoding
  • Utilizing color, layout, and hierarchy to enhance storytelling

Narrative Structuring

  • Articulating the “so what” behind your data
  • Storyboarding and arranging visual sequences
  • Incorporating annotations and visual cues

Practical Tools and Techniques

  • Fundamentals of Excel, Power BI, Tableau, and Google Data Studio
  • Storytelling via slides and dashboards
  • Leveraging templates and reusable structures

Workshop and Critique

  • Collaborative analysis of sample stories
  • Demonstrating visual improvements through before-and-after comparisons
  • Peer reviews of draft storyboards

Conclusion and Next Steps

Requirements

  • Foundational knowledge of data visualization principles
  • Practical experience with charts, graphs, or dashboards
  • Proficiency with spreadsheets or data visualization tools

Target Audience

  • Data analysts
  • Public sector communicators
  • Policy advisors and managers responsible for data interpretation
 14 Hours

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