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Course Outline

Introduction to Data Storytelling

  • The definition of data storytelling and its significance
  • Key elements of effective stories: narrative, visuals, and data
  • Common use cases in public and corporate environments

Understanding the Audience and Context

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

Selecting Appropriate Visuals

  • Deciding when to use bar charts, line graphs, scatter plots, and other types
  • Avoiding common pitfalls in visual encoding
  • Utilizing color, layout, and hierarchy in storytelling

Structuring the Narrative

  • Defining the “so what” behind your data
  • Storyboarding and visual sequencing
  • Incorporating annotations and visual cues

Practical Tools and Techniques

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

Workshop and Critique

  • Group analysis of example stories
  • Visual transformations: before-and-after comparisons
  • Peer feedback on draft storyboards

Summary and Next Steps

Requirements

  • A foundational understanding of basic data visualization principles
  • Experience working with charts, graphs, or dashboards
  • Familiarity with spreadsheets or visualization tools

Target Audience

  • Data analysts
  • Public sector communicators
  • Policy advisors and managers who interpret data
 14 Hours

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