{"product_id":"essential-statistics-for-data-science-a-concise-crash-course-paperback","title":"Essential Statistics for Data Science: A Concise Crash Course - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eMu Zhu\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cem\u003eEssential Statistics for Data Science: A Concise Crash Course\u003c\/em\u003e is for students entering a serious graduate program or advanced undergraduate teaching in data science without knowing enough statistics. The three-part text starts from the basics of probability and random variables and guides readers towards relatively advanced topics in both frequentist and Bayesian approaches in a matter of weeks. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cem\u003ePart I, Talking Probability\u003c\/em\u003e explains that the statistical approach to analysing data starts with a probability model to describe the data generating process. \u003cem\u003ePart II, Doing Statistics\u003c\/em\u003e explains that much of statistical inference is about learning unknown quantities in the model (e.g. its parameters) from the data it is presumed to have generated. \u003cem\u003ePart III, Facing Uncertainty\u003c\/em\u003e explains the importance of explicitly describing how much uncertainty we have about the model parameters, especially those with intrinsic scientific meaning, and of taking that into account when making decisions. \u003cp\u003e\u003c\/p\u003e\u003cem\u003eEssential Statistics for Data Science: A Concise Crash Course\u003c\/em\u003e provides an in-depth introduction for beginners, while being more serious than a typical undergraduate text, but still lighter and more accessible than an average graduate text.\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eMu Zhu, \u003cem\u003eProfessor, University of Waterloo\u003c\/em\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eMu Zhu is Professor in the Department of Statistics \u0026amp; Actuarial Science at the University of Waterloo, and Fellow of the American Statistical Association. He received his AB magna cum laude in applied mathematics from Harvard University, and his PhD in statistics from Stanford University. He is currently Director of the Graduate Data Science Program at Waterloo.\u003cbr\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 176\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.6 x 8.9 x 6.4 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 04, 2023\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":53047684235488,"sku":"9780192867742","price":80.42,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0811\/5909\/4496\/files\/F6jG8UGk7U9780192867742.webp?v=1781426608","url":"https:\/\/improvedinc.myshopify.com\/products\/essential-statistics-for-data-science-a-concise-crash-course-paperback","provider":"Improved Improper Input Inc.","version":"1.0","type":"link"}