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Coles AI for Data Storytelling: Explain charts, find narratives, and build persuasive reports at Bayshore Shopping Centre in Ottawa, ON
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Struggling to turn complex data into a clear, compelling story? AI for Data Storytelling shows you how to use AI tools such as ChatGPT to explain charts, uncover meaningful patterns, and create persuasive reports without overstating what the numbers can prove.Maya Ellison offers a practical guide to AI-assisted data storytelling, from building a reliable foundation and asking better questions to interpreting visualizations and shaping an audience-focused narrative. You'll learn how to develop useful prompts, challenge weak assumptions, distinguish insight from speculation, and turn analysis into writing that is concise, credible, and easy to understand.The book begins with the principles behind responsible AI-supported analysis, then moves through focused chapters on chart explanation, narrative discovery, report writing, and quality review. Along the way, you'll find repeatable workflows for working with data, refining AI-generated ideas, and delivering polished presentations and reports with greater confidence. A concluding review helps you bring the process together and apply it to your own projects.Whether you work in business, research, education, marketing, or reporting, this book helps you communicate data more clearly while keeping human judgment at the center.
Struggling to turn complex data into a clear, compelling story? AI for Data Storytelling shows you how to use AI tools such as ChatGPT to explain charts, uncover meaningful patterns, and create persuasive reports without overstating what the numbers can prove.Maya Ellison offers a practical guide to AI-assisted data storytelling, from building a reliable foundation and asking better questions to interpreting visualizations and shaping an audience-focused narrative. You'll learn how to develop useful prompts, challenge weak assumptions, distinguish insight from speculation, and turn analysis into writing that is concise, credible, and easy to understand.The book begins with the principles behind responsible AI-supported analysis, then moves through focused chapters on chart explanation, narrative discovery, report writing, and quality review. Along the way, you'll find repeatable workflows for working with data, refining AI-generated ideas, and delivering polished presentations and reports with greater confidence. A concluding review helps you bring the process together and apply it to your own projects.Whether you work in business, research, education, marketing, or reporting, this book helps you communicate data more clearly while keeping human judgment at the center.
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