Critical Thinking in Data Analytics: Logic, Bias, Persuasion, Storytelling, and Scepticism in Practice
Critical Thinking in Data Analytics explores the ideas and habits that shape sound analytical judgment. Covering logic, bias, persuasion, storytelling, and scepticism, it provides a practical framework for thinking carefully about data and communicating analytical insights with clarity.
About This Book
Critical Thinking in Data Analytics examines the reasoning skills that support thoughtful work with data.
The book covers logic, bias, persuasion, storytelling, and scepticism, bringing these themes together in the context of analytics practice.
It offers a broad foundation for readers who want to approach data, arguments, and analytical communication with greater care and awareness.
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