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 Duration 14 hours

Course Outline

Introduction to Data Storytelling

  • What is data storytelling and why it is critical
  • Components of effective stories: narrative, visuals, and data
  • Common use cases in public and corporate environments

Understanding Audience and Context

  • Identifying your audience and their specific needs
  • Designing for technical versus non-technical stakeholders
  • Establishing the tone: persuasive, explanatory, or exploratory

Selecting Appropriate Visuals

  • When to utilize bar charts, line graphs, scatter plots, and other visual types
  • Common pitfalls in visual encoding
  • The role of color, layout, and hierarchy in storytelling

Structuring the Narrative

  • Defining the "so what" behind your data
  • Storyboarding and visual sequencing strategies
  • Utilizing annotations and visual cues effectively

Practical Tools and Techniques

  • Fundamentals of Excel, Power BI, Tableau, and Google Data Studio
  • Storytelling through slide-based and dashboard-based formats
  • Using templates and reusable structures

Workshop and Critique

  • Group analysis of exemplary stories
  • Before-and-after visual transformations
  • Peer feedback on draft storyboards

Summary and Next Steps

Requirements

  • A solid understanding of basic data visualization principles
  • Experience working with charts, graphs, or dashboards
  • Familiarity with spreadsheets or visualization tools

Target Audience

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

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