Data Storytelling and Visualization for Decision-Making
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
Define Data Storytelling
Storytelling vs. Reporting and Presenting
The Data-Narrative-Visual Triad
Principles for Clarity, Simplicity, Impact
How People Process and Interpret Data
Understanding & Targeting Your Audience
Stakeholder Mapping and Audience Types
Objectives, Needs, and Decision Drivers
Tailoring Message, Detail, and Format
Bias, Skepticism, and Interpretation Risks
Narrative Structures for Data
The Story Arc
Common Data Patterns
Frameworks For Structuring Insight
Storyboarding And Planning the Flow
Data Selection and Framing
Choosing Data to Support the Message
Highlighting Signal Vs. Noise
Framing Insights to Answer “So What?”
Misleading Visuals and Data Misuse
Ethical Considerations and Transparency
Visual Storytelling Tools and Techniques
Principles of Effective Data Visualization
Selecting the Right Chart for the Message
Visuals that Guide Attention
Visuals that Reduce Cognitive Load
Using Excel, PowerPoint, & Dashboards
Using Visualization Platforms
Integrating Visuals with Narrative
Interactivity, Delivery, and Influence
Presentation vs. Data Walkthrough
Communicating Insights to Stakeholders
Questions, Skepticism, and Uncertainty
Blend Quantitative and Qualitative Data
Delivering Insights Across Formats
Building a Full Data Story
Define Audience and Objective
Select and Frame Key Data Points
Develop Narrative Arc and Storyboard
Design Supporting Visuals
Delivering a Complete Data Story
Data Storytelling and Visualization for Decision-Making
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
Define Data Storytelling
Storytelling vs. Reporting and Presenting
The Data-Narrative-Visual Triad
Principles for Clarity, Simplicity, Impact
How People Process and Interpret Data
Understanding & Targeting Your Audience
Stakeholder Mapping and Audience Types
Objectives, Needs, and Decision Drivers
Tailoring Message, Detail, and Format
Bias, Skepticism, and Interpretation Risks
Narrative Structures for Data
The Story Arc
Common Data Patterns
Frameworks For Structuring Insight
Storyboarding And Planning the Flow
Data Selection and Framing
Choosing Data to Support the Message
Highlighting Signal Vs. Noise
Framing Insights to Answer “So What?”
Misleading Visuals and Data Misuse
Ethical Considerations and Transparency
Visual Storytelling Tools and Techniques
Principles of Effective Data Visualization
Selecting the Right Chart for the Message
Visuals that Guide Attention
Visuals that Reduce Cognitive Load
Using Excel, PowerPoint, & Dashboards
Using Visualization Platforms
Integrating Visuals with Narrative
Interactivity, Delivery, and Influence
Presentation vs. Data Walkthrough
Communicating Insights to Stakeholders
Questions, Skepticism, and Uncertainty
Blend Quantitative and Qualitative Data
Delivering Insights Across Formats
Building a Full Data Story
Define Audience and Objective
Select and Frame Key Data Points
Develop Narrative Arc and Storyboard
Design Supporting Visuals
Delivering a Complete Data Story
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