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Course Outline

Introduction to Data Storytelling

  • Defining data storytelling and its significance.
  • Core elements of effective stories: narrative, visuals, and data.
  • Common use cases in public and corporate environments.

Understanding the Audience and Context

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

Selecting the Right Visuals

  • Choosing the appropriate visual format: bar charts, line graphs, scatter plots, and more.
  • Avoiding common pitfalls in visual encoding.
  • Utilizing color, layout, and hierarchy to enhance storytelling.

Structuring the Narrative

  • Clarifying the “so what” of your data.
  • Storyboarding and sequencing visual elements.
  • Incorporating annotations and visual cues effectively.

Practical Tools and Techniques

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

Workshop and Critique

  • Group analysis of exemplary stories.
  • Reviewing before-and-after visual transformations.
  • Receiving peer feedback on draft storyboards.

Summary and Next Steps

Requirements

  • A foundational understanding of data visualization principles.
  • Practical experience working with charts, graphs, or dashboards.
  • Familiarity with spreadsheets or visualization tools.

Target Audience

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

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