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Course Outline

Introduction to Data Storytelling

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

Understanding Audience and Context

  • Identifying your audience and their specific needs
  • Designing content 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 formats
  • Avoiding common errors in visual encoding
  • The role of colour, layout, and hierarchy in storytelling

Building the Narrative Structure

  • Defining the underlying value or “so what” of your data
  • Storyboarding and sequencing visuals effectively
  • Incorporating annotations and visual cues

Practical Tools and Methods

  • Basics of Excel, Power BI, Tableau, and Google Data Studio
  • Storytelling via slides and interactive dashboards
  • Leveraging templates and reusable structures

Workshop and Peer Review

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

Conclusion and Future Directions

Requirements

  • A solid grasp of fundamental data visualisation principles
  • Practical experience working with charts, graphs, or dashboards
  • Proficiency with spreadsheets or data visualisation tools

Target Audience

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

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