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 Duration 14 hours (2 days)

Course Outline

Foundations of Data Storytelling

  • The definition and importance of data storytelling
  • Core components: narrative, visuals, and data integration
  • Typical applications in government and corporate environments

Assessing Audience and Context

  • Identifying audience needs and expectations
  • Tailoring content 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 types
  • Avoiding common errors in visual encoding
  • Employing color, layout, and hierarchy to enhance narrative

Building the Narrative Structure

  • Clarifying the "so what" behind your data
  • Techniques for storyboarding and visual sequencing
  • Incorporating annotations and visual cues effectively

Applying Practical Tools and Methods

  • Essentials of Excel, Power BI, Tableau, and Google Data Studio
  • Storytelling approaches for slide decks and dashboards
  • Utilizing templates and repeatable structures

Workshop and Review Session

  • Collaborative analysis of case studies
  • Demonstrating visual improvements through before-and-after comparisons
  • Peer review of draft storyboards

Wrap-Up and Future Actions

Requirements

  • Familiarity with fundamental data visualization principles
  • Practical experience with charts, graphs, or dashboards
  • Proficiency with spreadsheets or visualization software

Target Audience

  • Data analysts
  • Communicators in the public sector
  • Policy advisors and managers involved in data interpretation

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Testimonials (3)

Provisional Upcoming Courses (Require 5+ participants)

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