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 Duration 14 hours

Course Outline

Overview of Data Narratives

  • Defining data storytelling and its strategic significance
  • Core components of effective communication: narrative structure, visual representation, and underlying data
  • Relevant applications in public sector and private enterprise environments

Identifying the Audience and Contextual Factors

  • Assessing stakeholder needs and expectations
  • Adapting communication strategies for technical and non-technical audiences
  • Establishing the communicative intent: advocacy, explanation, or exploration

Selecting Appropriate Visual Representations

  • Determining the optimal use of bar charts, line graphs, scatter plots, and other formats
  • Identifying and avoiding common errors in visual data encoding
  • Leveraging color, layout, and information hierarchy to enhance clarity

Developing the Narrative Structure

  • Articulating the strategic implications and key takeaways from the data
  • Planning visual sequences and storyboard development
  • Incorporating annotations and visual cues to guide interpretation

Implementing Practical Tools and Methodologies

  • Foundational proficiency in Excel, Power BI, Tableau, and Google Data Studio
  • Techniques for slide-based presentations and interactive dashboard design
  • Utilizing standardized templates and repeatable analytical structures

Workshop Session and Peer Review

  • Collaborative analysis of exemplar data narratives
  • Evaluation of visual refinement and transformation examples
  • Peer-assessed feedback on preliminary storyboards

Summary and Action Planning

Requirements

  • A working understanding of fundamental data visualization principles
  • Experience creating or interacting with charts, graphs, or dashboards
  • Familiarity with spreadsheet applications or data visualization software

Target Audience

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

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