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Course Outline

Introduction to Data Storytelling

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

Understanding Audience and Context

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

Selecting Appropriate Visuals

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

Constructing the Narrative

  • Identifying the key takeaway or “so what” of your data
  • Storyboarding and sequencing visual elements
  • Incorporating annotations and visual cues

Practical Tools and Techniques

  • Basics of Excel, Power BI, Tableau, and Google Data Studio
  • Storytelling through slide decks and dashboards
  • Leveraging templates and reusable structures

Workshop and Peer Review

  • Collective analysis of example stories
  • Comparing before-and-after visual improvements
  • Receiving peer feedback on draft storyboards

Summary and Recommended Next Steps

Requirements

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

Target Audience

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

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