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 Duration 14 hours (2 days)

Course Outline

Introduction to Data Storytelling

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

Understanding the Audience and Context

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

Selecting Appropriate Visuals

  • Determining when to apply bar charts, line graphs, scatter plots, and other types
  • Avoiding frequent errors in visual encoding
  • Utilizing color, layout, and hierarchy to enhance the narrative

Building the Narrative Structure

  • Clarifying the key takeaway or “so what” behind the data
  • Planning storyboards and sequencing visuals logically
  • Incorporating annotations and visual cues for emphasis

Practical Tools and Methods

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

Workshop and Peer Review

  • Collaborative analysis of sample stories
  • Reviewing before-and-after visual improvements
  • Receiving peer feedback on initial storyboards

Recap and Future Actions

Requirements

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

Target Audience

  • Data analysts
  • Public sector communication specialists
  • Policy advisors and managers responsible for data interpretation

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