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Course Outline

Introduction to Data Storytelling

  • The definition of data storytelling and its significance
  • Core components of effective narratives: story structure, visuals, and data
  • Frequent applications in public and corporate environments

Audience and Context Analysis

  • Identifying your audience and their specific requirements
  • Tailoring designs for technical and non-technical stakeholders
  • Establishing the appropriate tone: persuasive, explanatory, or exploratory

Selecting Appropriate Visuals

  • Determining when to employ bar charts, line graphs, scatter plots, and other types
  • Avoiding common errors in visual encoding
  • The role of color, layout, and hierarchy in effective storytelling

Narrative Construction

  • Clarifying the "so what" factor 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 through slide decks and dashboards
  • Leveraging templates and repeatable frameworks

Workshop and Critique

  • Collective analysis of narrative examples
  • Demonstrating visual improvements through before-and-after comparisons
  • Peer review of draft storyboards

Summary and Future Directions

Requirements

  • A foundational grasp of basic data visualization principles
  • Practical experience with charts, graphs, or dashboards
  • Comfort with spreadsheets or data visualization platforms

Target Audience

  • Data analysts
  • Communicators in the public sector
  • Policy advisors and managers responsible for interpreting data
 14 Hours

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