{"product_id":"essential-statistics-for-data-science-a-concise-crash-course-9780192867735","title":"Essential Statistics for Data Science: A Concise Crash Course","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThe book covers probability, random variables, frequentist and Bayesian approaches, and decision-making with uncertainty. It is designed for students entering a graduate program or advanced undergraduate teaching in data science. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 176 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 04 April 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Oxford University Press\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eEssential Statistics for Data Science: A Concise Crash Course is a comprehensive guide designed for students embarking on a rigorous graduate program or advanced undergraduate teaching in data science, without possessing a sufficient understanding of statistics. This three-part text takes readers on a journey from the fundamental principles of probability and random variables to relatively advanced topics in both frequentist and Bayesian approaches, covering a wide range of subjects in just a few weeks.\u003cbr\u003e\u003cbr\u003eIn Part I, Talking Probability, the author emphasizes that the statistical approach to analyzing data begins with the construction of a probability model that describes the process by which data is generated. This model serves as a framework for understanding and interpreting the patterns and relationships within the data.\u003cbr\u003e\u003cbr\u003ePart II, Doing Statistics, delves into the realm of statistical inference, where the primary objective is to learn unknown quantities within the model, such as its parameters. This involves utilizing the data available to make assumptions and draw conclusions about the underlying phenomena. The author emphasizes the importance of understanding the assumptions and limitations of statistical inference and the potential biases that may arise.\u003cbr\u003e\u003cbr\u003ePart III, Facing Uncertainty, sheds light on the significance of explicitly describing the level of uncertainty associated with the model parameters, particularly those with intrinsic scientific meaning. The author emphasizes the importance of considering this uncertainty when making decisions based on the analysis of data.\u003cbr\u003e\u003cbr\u003eEssential Statistics for Data Science: A Concise Crash Course strikes a balance between providing an in-depth introduction for beginners and being more serious than a typical undergraduate text. However, it is still lighter and more accessible than an average graduate text, making it suitable for students with a range of backgrounds and skill levels.\u003cbr\u003e\u003cbr\u003eBy covering a wide range of topics in a concise and engaging manner, this text serves as a valuable resource for students seeking to excel in data science and other quantitative fields. Whether you are a recent undergraduate graduate or a professional looking to expand your statistical knowledge, this book will provide you with the essential tools and insights needed to succeed in your academic and professional endeavors.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 450g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 160 x 241 x 15 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9780192867735\u003c\/p\u003e","brand":"MuZhu","offers":[{"title":"Hardback","offer_id":44203929862394,"sku":"9780192867735","price":59.98,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1682692257649_book.jpg?v=1682935107","url":"https:\/\/shulphink.com\/products\/essential-statistics-for-data-science-a-concise-crash-course-9780192867735","provider":"Shulph Ink","version":"1.0","type":"link"}