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Course Outline

Foundations of Data Storytelling

  • Defining data storytelling and its strategic importance
  • Core components of effective stories: narrative, visuals, and data
  • Typical use cases within public and corporate environments

Contextualizing for Your Audience

  • Identifying your audience and understanding their information needs
  • Adapting content for technical versus non-technical stakeholders
  • Establishing the appropriate tone: persuasive, explanatory, or exploratory

Selecting Appropriate Visuals

  • Guidelines for choosing bar charts, line graphs, scatter plots, and other visual types
  • Identifying and avoiding common errors in visual encoding
  • Utilizing color, layout, and hierarchy to enhance storytelling

Developing the Narrative Structure

  • Clarifying the key takeaway or "so what" of your data
  • Techniques for storyboarding and visual sequencing
  • Incorporating annotations and visual cues for emphasis

Applying Practical Tools and Methods

  • Essential features of Excel, Power BI, Tableau, and Google Data Studio
  • Strategies for slide-based and dashboard-based storytelling
  • Leveraging templates and reusable structural elements

Workshop and Peer Review

  • Collaborative analysis of real-world story examples
  • Exploring before-and-after visual improvements
  • Receiving peer feedback on draft storyboards

Recap and Future Actions

Requirements

  • Familiarity with fundamental data visualization concepts
  • Practical experience utilizing charts, graphs, or dashboards
  • Working knowledge of spreadsheets or data visualization software

Target Audience

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

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