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Data Storytelling and Visualization for Decision-Making Training Course

Coming Soon

Formats ⟩  Live Virtual: 8 hrs./2 Days  |  In-Person: 12 hrs./2 Days

Data Storytelling and Visualization for Decision-Making equips professionals with the skills to transform data into clear, compelling insights that drive better decisions. Participants will learn to structure data stories using proven frameworks such as the story arc (problem, exploration, insight, recommendation), along with models like SCQA, PREP, and the Pyramid Principle. The course also covers identifying key data patterns, selecting and framing insights, and designing effective visuals tailored to different audiences. With a focus on clarity, simplicity, and ethical communication, participants will be able to deliver impactful data stories that influence stakeholders and support business outcomes.

Learning Objectives

  • Transform data into clear, concise, and actionable insights.
  • Structure data using narrative frameworks.
  • Design visuals that support clarity, accuracy, and impact.
  • Tailor data stories to different audiences and needs.
  • Deliver data presentations that influence action and credibility.
  • Balance storytelling with ethical and accurate data representation.

Course Agenda »

Foundations of Data Storytelling

  1. Define Data Storytelling
  2. Storytelling vs. Reporting and Presenting
  3. The Data-Narrative-Visual Triad
  4. Principles for Clarity, Simplicity, Impact
  5. How People Process and Interpret Data

Understanding & Targeting Your Audience

  1. Stakeholder Mapping and Audience Types
  2. Objectives, Needs, and Decision Drivers
  3. Tailoring Message, Detail, and Format
  4. Bias, Skepticism, and Interpretation Risks

Narrative Structures for Data

  1. The Story Arc
  2. Common Data Patterns
  3. Frameworks For Structuring Insight
  4. Storyboarding And Planning the Flow

Data Selection and Framing

  1. Choosing Data to Support the Message
  2. Highlighting Signal Vs. Noise
  3. Framing Insights to Answer “So What?”
  4. Misleading Visuals and Data Misuse
  5. Ethical Considerations and Transparency

Visual Storytelling Tools and Techniques

  1. Principles of Effective Data Visualization
  2. Selecting the Right Chart for the Message
  3. Visuals that Guide Attention
  4. Visuals that Reduce Cognitive Load
  5. Using Excel, PowerPoint, & Dashboards
  6. Using Visualization Platforms
  7. Integrating Visuals with Narrative

Interactivity, Delivery, and Influence

  1. Presentation vs. Data Walkthrough
  2. Communicating Insights to Stakeholders
  3. Questions, Skepticism, and Uncertainty
  4. Blend Quantitative and Qualitative Data
  5. Delivering Insights Across Formats

Building a Full Data Story

  1. Define Audience and Objective
  2. Select and Frame Key Data Points
  3. Develop Narrative Arc and Storyboard
  4. Design Supporting Visuals
  5. Delivering a Complete Data Story

Data Storytelling and Visualization for Decision-Making Training Course

Coming Soon

Formats ⟩  Live Virtual: 8 hrs./2 Days  |  In-Person: 12 hrs./2 Days

Data Storytelling and Visualization for Decision-Making equips professionals with the skills to transform data into clear, compelling insights that drive better decisions. Participants will learn to structure data stories using proven frameworks such as the story arc (problem, exploration, insight, recommendation), along with models like SCQA, PREP, and the Pyramid Principle. The course also covers identifying key data patterns, selecting and framing insights, and designing effective visuals tailored to different audiences. With a focus on clarity, simplicity, and ethical communication, participants will be able to deliver impactful data stories that influence stakeholders and support business outcomes.

Learning Objectives

  • Transform data into clear, concise, and actionable insights.
  • Structure data using narrative frameworks.
  • Design visuals that support clarity, accuracy, and impact.
  • Tailor data stories to different audiences and needs.
  • Deliver data presentations that influence action and credibility.
  • Balance storytelling with ethical and accurate data representation.

Course Agenda »

Foundations of Data Storytelling

  1. Define Data Storytelling
  2. Storytelling vs. Reporting and Presenting
  3. The Data-Narrative-Visual Triad
  4. Principles for Clarity, Simplicity, Impact
  5. How People Process and Interpret Data

Understanding & Targeting Your Audience

  1. Stakeholder Mapping and Audience Types
  2. Objectives, Needs, and Decision Drivers
  3. Tailoring Message, Detail, and Format
  4. Bias, Skepticism, and Interpretation Risks

Narrative Structures for Data

  1. The Story Arc
  2. Common Data Patterns
  3. Frameworks For Structuring Insight
  4. Storyboarding And Planning the Flow

Data Selection and Framing

  1. Choosing Data to Support the Message
  2. Highlighting Signal Vs. Noise
  3. Framing Insights to Answer “So What?”
  4. Misleading Visuals and Data Misuse
  5. Ethical Considerations and Transparency

Visual Storytelling Tools and Techniques

  1. Principles of Effective Data Visualization
  2. Selecting the Right Chart for the Message
  3. Visuals that Guide Attention
  4. Visuals that Reduce Cognitive Load
  5. Using Excel, PowerPoint, & Dashboards
  6. Using Visualization Platforms
  7. Integrating Visuals with Narrative

Interactivity, Delivery, and Influence

  1. Presentation vs. Data Walkthrough
  2. Communicating Insights to Stakeholders
  3. Questions, Skepticism, and Uncertainty
  4. Blend Quantitative and Qualitative Data
  5. Delivering Insights Across Formats

Building a Full Data Story

  1. Define Audience and Objective
  2. Select and Frame Key Data Points
  3. Develop Narrative Arc and Storyboard
  4. Design Supporting Visuals
  5. Delivering a Complete Data Story
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