Get in Touch

Course Outline

Introduction to Data Storytelling

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

Understanding the Audience and Context

  • Identifying your audience and their specific requirements
  • 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
  • Identifying common pitfalls in visual encoding
  • The role of color, layout, and hierarchy in narrative delivery

Structuring the Narrative

  • Clarifying the significance (“so what”) of your data
  • Storyboarding and arranging visual sequences
  • Incorporating annotations and visual cues

Practical Tools and Techniques

  • Fundamentals of Excel, Power BI, Tableau, and Google Data Studio
  • Narrative techniques for slide-based and dashboard-based formats
  • Leveraging templates and reusable structures

Workshop and Critique

  • Collective analysis of sample stories
  • Demonstrating visual improvements through before-and-after comparisons
  • Receiving peer feedback on preliminary storyboards

Summary and Next Steps

Requirements

  • Familiarity with fundamental data visualization principles
  • Experience utilizing charts, graphs, or dashboards
  • Proficiency with spreadsheets or visualization software

Target Audience

  • Data analysts
  • Public sector communicators
  • Policy advisors and managers involved in data interpretation
 14 Hours

Number of participants


Price per participant

Testimonials (3)

Upcoming Courses

Related Categories