Overview

Everyday Data Sense: The Unspoken Skill Behind Smart Decisions in a Data-Driven, AI-Powered World In a world drowning in dashboards, reports, and AI-generated insights, one skill separates confident decision-makers from the rest: data common sense. This isn't another textbook on statistics or a how-to manual for Excel and Python. Everyday Data Sense gives you the practical instincts to spot misleading metrics, ask sharper questions, and see the story behind the numbers - whether you're building the analysis yourself or making a high-stakes call based on it. You'll learn how to: Catch broken charts, cherry-picked timeframes, and hidden omissions. See through impressive-looking totals, averages, and percentages that don't tell the real story. Understand how framing shapes perception without changing the data. Avoid chasing metrics that create the wrong behaviors. Recognize both the traps of small samples and the subtle risks in big data. And because we're now in the GenAI era, this book goes further - showing you how to use AI tools like ChatGPT as your second opinion. You'll get ready-to-use prompts to stress-test numbers, reframe charts, and surface blind spots... while learning how to avoid the ways AI can mislead you. Who it's for: Decision-makers who sit in data meetings but aren't sure what to ask next. Analysts and data professionals who want to prevent misinterpretations of their work. Anyone who needs to make smart calls with data when the stakes are high. With clear examples, quick mental checklists, and AI-ready prompts, Everyday Data Sense will help you cut through the noise, keep your footing when the numbers start flying, and turn data into decisions you can stand behind.

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