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Course Outline

Introduction to Data Storytelling

  • Defining data storytelling and its significance
  • Core elements of effective stories: narrative, visuals, and data
  • Common applications in public and corporate environments

Understanding the Audience and Context

  • Identifying your audience and their specific needs
  • Designing for technical versus non-technical stakeholders
  • Setting the appropriate tone: persuasive, explanatory, or exploratory

Selecting the Right Visuals

  • Best practices for using bar charts, line graphs, scatter plots, and other types
  • Avoiding common pitfalls in visual encoding
  • The role of color, layout, and hierarchy in storytelling

Structuring the Narrative

  • Clarifying the “so what” of your data
  • Storyboarding and visual sequencing techniques
  • Utilizing annotations and visual cues effectively

Practical Tools and Techniques

  • Foundations of Excel, Power BI, Tableau, and Google Data Studio
  • Storytelling through slides and dashboards
  • Implementing templates and reusable structures

Workshop and Critique

  • Group analysis of sample stories
  • Examining before-and-after visual transformations
  • Receiving peer feedback on draft storyboards

Summary and Next Steps

Requirements

  • A solid grasp of fundamental data visualization principles
  • Practical experience working with charts, graphs, or dashboards
  • Familiarity with spreadsheets or visualization software

Target Audience

  • Data analysts
  • Public sector communicators
  • Policy advisors and managers involved in data interpretation
 14 Hours

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