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 Duration 14 hours

Course Outline

Introduction to Data Storytelling

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

Understanding Audience and Context

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

Selecting Appropriate Visuals

  • Guidelines for using bar charts, line graphs, scatter plots, and other visual forms
  • Avoiding common errors in visual encoding
  • Utilizing color, layout, and hierarchy to enhance storytelling

Narrative Structure

  • Articulating the key takeaway or 'so what' of your data
  • Storyboarding and sequencing visual elements
  • Incorporating annotations and visual cues

Practical Tools and Techniques

  • Fundamentals of Excel, Power BI, Tableau, and Google Data Studio
  • Storytelling approaches for slides and dashboards
  • Implementing templates and reusable structural patterns

Workshop and Peer Review

  • Collaborative analysis of sample stories
  • Reviewing visual transformations before and after
  • Receiving peer feedback on preliminary storyboards

Wrap-Up and Future Steps

Requirements

  • Familiarity with fundamental data visualization principles
  • Practical experience with charts, graphs, or dashboards
  • Working knowledge of spreadsheets or visualization software

Target Audience

  • Data analysts
  • Communicators in the public sector
  • Policy advisors and managers involved in data interpretation

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