Storytelling in Data Course

Course Code: GK840037

Duration: 1 day

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Target Audience

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Data analysts, data visualization practitioners, and technical AI users who want to create more compelling arguments with their data, and learn how to combine data, text, and visualizations to craft a data story.

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Course Objectives

• Learn chart types and when to use them.
• Evaluate generative AI tools for data visualization.
• Use visual design elements to create effective data visualizations.
• Encode data with color meaningfully and follow accessibility guidelines.
• Evaluate data quality through data collection, cleaning, and compiling stages.
• Avoid misleading data visualizations.
• Balance making an argument with representing data accurately.
• Tailor data visualizations to specific audiences.
• Address barriers that audiences face in understanding or taking action.
• Ethically communicate data through data storytelling.

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Course Content

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1- Introduction to Data Storytelling

• What is Data Visualization?
• Types of Charts and Choosing the Right Visualization
• Generative AI Tools for Data Visualization

2- Visual Design Theory

• Elements of Visual Design
• Limitations of Generative AI in Design
• Grouping and Highlighting Data to Build and Argument

3- Analyzing Misleading Visualizations

• Data Quality and Collection
• Accuracy in Scale and Context
• Reporting and Misrepresentation of Statistics

4- Data Storytelling

• Introduction to Data Storytelling
• Key Elements of a Compelling Data Story
• Anticipating Audience Barriers

5- Data for Your Audience

• Tailoring Insights to the Audience
• Structure of a Compelling Data Story
• Ethics and Truth in Data Storytelling
• Reducing Friction for the Audience.

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Course Prerequisites

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• Familiarity with a data visualization tool, such as Tableau or Power BI
• Basic familiarity with data visualization

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