{"product_id":"data-science-in-theory-and-maria-cristina-mariani-9781119674689","title":"Data Science in Theory and Practice: Techniques for Big Data Analytics and Complex Data Sets","description":"\u003cb\u003eDATA SCIENCE IN THEORY AND PRACTICE\u003c\/b\u003e \u003cp\u003e\u003cb\u003eEXPLORE THE FOUNDATIONS OF DATA SCIENCE WITH THIS INSIGHTFUL NEW RESOURCE\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eData Science in Theory and Practice\u003c\/i\u003e delivers a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in various disciplines, like banking, finance, health care, bioinformatics, security, education, and social services. Written in five parts, the book examines some of the most commonly used and fundamental mathematical and statistical concepts that form the basis of data science. The authors go on to analyze various data transformation techniques useful for extracting information from raw data, long memory behavior, and predictive modeling. \u003c\/p\u003e\u003cp\u003eThe book offers readers a multitude of topics all relevant to the analysis of complex data sets. Along with a robust exploration of the theory underpinning data science, it contains numerous applications to specific and practical problems. The book also provides examples of code algorithms in R and Python and provides pseudo-algorithms to port the code to any other language. \u003c\/p\u003e\u003cp\u003eIdeal for students and practitioners without a strong background in data science, readers will also learn from topics like: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eAnalyses of foundational theoretical subjects, including the history of data science, matrix algebra and random vectors, and multivariate analysis\u003c\/li\u003e \u003cli\u003eA comprehensive examination of time series forecasting, including the different components of time series and transformations to achieve stationarity\u003c\/li\u003e \u003cli\u003eIntroductions to both the R and Python programming languages, including basic data types and sample manipulations for both languages\u003c\/li\u003e \u003cli\u003eAn exploration of algorithms, including how to write one and how to perform an asymptotic analysis\u003c\/li\u003e \u003cli\u003eA comprehensive discussion of several techniques for analyzing and predicting complex data sets\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003ePerfect for advanced undergraduate and graduate students in Data Science, Business Analytics, and Statistics programs, \u003ci\u003eData Science in Theory and Practice\u003c\/i\u003e will also earn a place in the libraries of practicing data scientists, data and business analysts, and statisticians in the private sector, government, and academia.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Maria Cristina Mariani, Osei Kofi Tweneboah, Maria Pia Beccar-Varela\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1119674689\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781119674689\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Wiley\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 10\/12\/2021\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 400\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.53lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.88d\u003c\/p\u003e","brand":"Maria Cristina Mariani","offers":[{"title":"Hardcover","offer_id":43943181648127,"sku":"9781119674689","price":139.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/products\/img_ca2543c6-2ec3-400d-a710-6280680733ab.jpg?v=1681496677","url":"https:\/\/www.whiterainbookhouse.com\/products\/data-science-in-theory-and-maria-cristina-mariani-9781119674689","provider":"WR Book House","version":"1.0","type":"link"}