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Course Outline

Introduction to Data Storytelling

  • The definition of data storytelling and its significance
  • Key components of effective storytelling: narrative, visuals, and data
  • Typical applications in public and corporate environments

Audience and Context Analysis

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

Selecting Appropriate Visuals

  • Determining when to utilize bar charts, line graphs, scatter plots, and other visual types
  • Avoiding common errors in visual encoding
  • Utilizing color, layout, and hierarchy to enhance storytelling

Narrative Structure

  • Clarifying the “so what” implication of your data
  • Developing storyboards and visual sequences
  • Incorporating annotations and visual cues effectively

Practical Tools and Methods

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

Workshop and Review

  • Collaborative analysis of sample stories
  • Demonstrating visual improvements from before-and-after comparisons
  • Receiving peer feedback on draft storyboards

Summary and Future Steps

Requirements

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

Target Audience

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

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