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Synopsis
This book offers a comprehensive exploration of modern statistical and data science techniques, with a focus on practical application, conceptual clarity, and methodological rigor. Covering essential topics such as experimental design, causal inference, time series analysis, missing data, and robust estimation, it provides readers with the tools to handle complex data structures, draw valid conclusions, and make data-driven decisions. Written in clear and accessible language, the book bridges theory and practice, making it an invaluable resource for students, researchers, and professionals seeking to deepen their understanding of advanced analytical methods.
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Statistical Thinking for Data Scientists: Inference, Testing, and Regression
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Statistical Thinking for Data Scientists
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Statistical Thinking for Data Scientists
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Statistical Thinking for Data Scientists (Paperback)
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Paperback. Condition: new. Paperback. This book offers a comprehensive exploration of modern statistical and data science techniques, with a focus on practical application, conceptual clarity, and methodological rigor. Covering essential topics such as experimental design, causal inference, time series analysis, missing data, and robust estimation, it provides readers with the tools to handle complex data structures, draw valid conclusions, and make data-driven decisions. Written in clear and accessible language, the book bridges theory and practice, making it an invaluable resource for students, researchers, and professionals seeking to deepen their understanding of advanced analytical methods. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798280227606
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