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 Duration 14 hours

Course Outline

Introduction to Data Storytelling

  • Defining data storytelling and its importance
  • 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 requirements
  • Designing for both technical and non-technical stakeholders
  • Establishing the appropriate tone: persuasive, explanatory, or exploratory

Selecting Appropriate Visuals

  • Determining when to use bar charts, line graphs, scatter plots, etc.
  • Avoiding common errors in visual encoding
  • Leveraging color, layout, and hierarchy in storytelling

Structuring the Narrative

  • Articulating the “so what” behind 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 slides and dashboards
  • Utilizing templates and reusable structures

Workshop and Review

  • Collective analysis of example stories
  • Before-and-after visual refinement exercises
  • Peer feedback on draft storyboards

Summary and Next Steps

Requirements

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

Target Audience

  • Data analysts
  • Public sector communication specialists
  • Policy advisors and managers who interpret data

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