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 Duration 14 hours

Course Outline

Introduction to Data Storytelling

  • The definition of data storytelling and its importance
  • Core components of effective stories: narrative, visuals, and data
  • Typical use cases in public and corporate environments

Understanding Audience and Context

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

Selecting Appropriate Visuals

  • Guidelines for using bar charts, line graphs, scatter plots, and other types
  • Common pitfalls in visual encoding
  • The role of color, layout, and hierarchy in storytelling

Building the Narrative

  • Identifying the “so what” in your data
  • Storyboarding and arranging visual sequences
  • Incorporating annotations and visual cues

Tools and Techniques in Practice

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

Workshop and Critique Session

  • Group analysis of sample stories
  • Comparing before-and-after visual improvements
  • Receiving peer feedback on draft storyboards

Wrap-up and Future Steps

Requirements

  • A foundational understanding of basic data visualization principles
  • Hands-on experience working with charts, graphs, or dashboards
  • Familiarity with spreadsheets or data visualization tools

Target Audience

  • Data analysts
  • Communicators in the public sector
  • Policy advisors and managers responsible for interpreting data

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