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Course Outline

Foundations of Data Storytelling

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

Aligning with Audience and Context

  • Identifying audience needs and expectations
  • Tailoring content for technical versus non-technical stakeholders
  • Establishing the right tone: persuasive, explanatory, or exploratory

Selecting Appropriate Visuals

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

Building the Narrative Structure

  • Clarifying the key takeaway ("so what") of your data
  • Storyboarding and sequencing visuals effectively
  • Incorporating annotations and visual cues

Applying Practical Tools and Methods

  • Essentials of Excel, Power BI, Tableau, and Google Data Studio
  • Telling stories through slides and dashboards
  • Utilizing templates and reusable structural frameworks

Workshop and Review

  • Collaborative analysis of example stories
  • Visual before-and-after transformations
  • Peer feedback on storyboard drafts

Conclusion and Future Steps

Requirements

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

Target Audience

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

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