{"title":"Nina Zumel","description":null,"products":[{"product_id":"practical-data-science-with-r-book-nina-zumel-9781617291562","title":"Practical Data Science with R","description":"DESCRIPTION       Simply put, data science is the discipline of extracting meaning from data. While it can involve deep knowledge of statistics, mathematics, machine learning, and computer science, for most non-academics, data science looks like applying analysis techniques to answer key business questions.          Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases faced while collecting, curating, and analyzing the data crucial to the success of businesses. Readers will apply the R programming language and statistical analysis techniques to carefully-explained examples based in marketing, business intelligence, and decision support, while learning how to create instrumentation, design experiments such as A\/B tests, and accurately present data to audiences of all levels.           　      RETAIL SELLING POINTS      Demonstrations of need-to-know statistical ideas    Covers all aspects of the project lifecycle      Data science for the motivated business professional       AUDIENCE      Written for the business analyst, technical consultant or technical director— no formal statistics or mathematics background is required. Readers should be comfortable with quantitative thinking plus light scripting or programming. Some familiarity with R is a plus.       ABOUT THE TECHNOLOGY     R is a programming language which is used for developing statistical software programs. Data Science is the process of collecting data and developing analysis techniques and software over that data to answer key business questions.","brand":"WoB","offers":[{"title":"GB \/ VERY_GOOD \/ INTERNAL","offer_id":49667530850577,"sku":"GOR009212934","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ GOOD \/ SBYB","offer_id":49774772191505,"sku":"CIN1617291560G","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ WELL_READ \/ SBYB","offer_id":50145953120529,"sku":"CIN1617291560A","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ VERY_GOOD \/ SBYB","offer_id":50312738570513,"sku":"CIN1617291560VG","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ LIKE_NEW \/ INTERNAL","offer_id":50688380469521,"sku":"GOR014036053","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1617291560.jpg?v=1750895546"},{"product_id":"practical-data-science-with-r-book-nina-zumel-9781617295874","title":"Practical Data Science with R","description":"This invaluable addition to any data scientist’s library shows you how to apply the R programming language and useful statistical techniques to everyday business situations as well as how to effectively present results to audiences of all levels. To answer the ever-increasing demand for machine learning and analysis, this new edition boasts additional R tools, modeling techniques, and more.      Practical Data Science with R, Second Edition takes a practice oriented approach to explaining basic principles in the ever-expanding field of data science. You’ll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.      Key features   • Data science and statistical analysis for the business professional    • Numerous instantly familiar real-world use cases    • Keys to effective data presentations    • Modeling and analysis techniques like boosting, regularized regression, and quadratic                                 discriminant analysis     Audience   While some familiarity with basic statistics and R is assumed, this book is accessible to readers with or without a background in data science.     About the technology   Business analysts and developers are increasingly collecting, curating, analyzing, and reporting on crucial business data. The R language and its associated tools provide a straightforward way to tackle day-to-day        Nina Zumel and John Mount are co-founders of Win-Vector LLC, a San Francisco-based data science consulting firm. Both hold PhDs from Carnegie Mellon and blog on statistics, probability, and computer science at    win-vector.com.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ GARDNERS","offer_id":49735596376337,"sku":"NGR9781617295874","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ GOOD \/ SBYB","offer_id":49989808980241,"sku":"CIN1617295876G","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ VERY_GOOD \/ SBYB","offer_id":50215961297169,"sku":"CIN1617295876VG","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ VERY_GOOD \/ INTERNAL","offer_id":50450294440209,"sku":"GOR011044627","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ NEW \/ INGRAM","offer_id":51040051364113,"sku":"NIN9781617295874","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1617295876.jpg?v=1776247111"}],"url":"https:\/\/www.worldofbooks.com\/en-gb\/collections\/author-books-by-nina-zumel.oembed","provider":"World of Books ","version":"1.0","type":"link"}