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Course Outline

Introduction to Data Storytelling

  • Definition of data storytelling and its significance
  • Key elements of effective stories: narrative, visuals, and data
  • Typical applications in public and corporate environments

Understanding Audience and Context

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

Selecting Appropriate Visuals

  • Guidance on when to use bar charts, line graphs, scatter plots, and other types
  • Common pitfalls in visual encoding
  • Utilizing color, layout, and hierarchy for better storytelling

Building the Narrative

  • Articulating the "so what" behind your data
  • Storyboarding and sequencing visual elements
  • Incorporating annotations and visual cues

Practical Tools and Methods

  • Basics of Excel, Power BI, Tableau, and Google Data Studio
  • Storytelling through slides and dashboards
  • Utilizing templates and reusable structures

Workshop and Peer Review

  • Collaborative analysis of sample stories
  • Visual transformations: before and after comparisons
  • Peer feedback on draft storyboards

Conclusion and Future Directions

Requirements

  • Knowledge of fundamental data visualization principles
  • Experience working with charts, graphs, or dashboards
  • Familiarity with spreadsheets or visualization software

Target Audience

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

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