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 Duration 14 hours

Course Outline

Introduction to Data Storytelling

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

Understanding Audience and Context

  • Identifying the audience and their information needs
  • Tailoring content for technical and non-technical stakeholders
  • Setting 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

Building the Narrative

  • Clarifying the significance of your data
  • Storyboarding and visual sequencing
  • Incorporating annotations and visual cues

Practical Tools and Techniques

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

Workshop and Critique

  • Collaborative analysis of sample stories
  • Reviewing visual transformations before and after
  • Peer feedback on draft storyboards

Summary and Next Steps

Requirements

  • A foundational grasp of data visualization principles
  • Practical experience using charts, graphs, or dashboards
  • Familiarity with spreadsheets or visualization software

Target Audience

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

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