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Course Outline

Introduction to Data Storytelling

  • The significance of data storytelling and its purpose
  • Core components of effective narratives: story, visuals, and data
  • Typical applications in public sector and corporate environments

Audience and Context Awareness

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

Selecting Appropriate Visuals

  • Determining when to apply bar charts, line graphs, scatter plots, and other formats
  • Avoiding common errors in visual encoding
  • Leveraging color, layout, and hierarchy to enhance narrative flow

Narrative Structure

  • Clarifying the implication or 'so what' behind your data
  • Creating storyboards and arranging visual sequences
  • Incorporating annotations and visual cues for emphasis

Practical Tools and Methodologies

  • Fundamentals of Excel, Power BI, Tableau, and Google Data Studio
  • Storytelling techniques for slides and dashboards
  • Utilizing templates and repeatable structures

Workshop and Review Session

  • Collaborative analysis of illustrative case studies
  • Examining visual improvements before and after refinement
  • Peer evaluation of preliminary storyboards

Conclusion and Future Actions

Requirements

  • Foundational knowledge of data visualization principles
  • Practical experience with charts, graphs, or dashboards
  • Comfort with spreadsheets or visualization tools

Target Audience

  • Data analysts
  • Public sector communicators
  • Policy advisors and managers interpreting data
 14 Hours

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