{"product_id":"9781617291562","title":"Practical Data Science with R","description":"\u003cp\u003e\u003cb\u003eSummary\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003ePractical Data Science with R\u003c\/i\u003e lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.\u003c\/p\u003e\u003cp\u003ePurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout the Book\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eBusiness 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 data science tasks without a lot of academic theory or advanced mathematics.\u003c\/p\u003e\u003cp\u003e\u003ci\u003ePractical Data Science with R\u003c\/i\u003e shows you how to apply the R programming language and useful statistical techniques to everyday business situations. Using examples from marketing, business intelligence, and decision support, it shows you how to design experiments (such as A\/B tests), build predictive models, and present results to audiences of all levels.\u003c\/p\u003e\u003cp\u003eThis book is accessible to readers without a background in data science. Some familiarity with basic statistics, R, or another scripting language is assumed.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat's Inside\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eData science for the business professional\u003c\/li\u003e\n\u003cli\u003eStatistical analysis using the R language\u003c\/li\u003e\n\u003cli\u003eProject lifecycle, from planning to delivery\u003c\/li\u003e\n\u003cli\u003eNumerous instantly familiar use cases\u003c\/li\u003e\n\u003cli\u003eKeys to effective data presentations\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eAbout the Authors\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eNina Zumel\u003c\/b\u003e and \u003cb\u003eJohn Mount\u003c\/b\u003e are cofounders of 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003col\u003e\n\u003cb\u003ePART 1 INTRODUCTION TO DATA SCIENCE\u003c\/b\u003e\u003cli\u003eThe data science process\u003c\/li\u003e\n\u003cli\u003eLoading data into R\u003c\/li\u003e\n\u003cli\u003eExploring data\u003c\/li\u003e\n\u003cli\u003eManaging data\u003c\/li\u003e\n\u003cb\u003ePART 2 MODELING METHODS\u003c\/b\u003e\u003cli\u003eChoosing and evaluating models\u003c\/li\u003e\n\u003cli\u003eMemorization methods\u003c\/li\u003e\n\u003cli\u003eLinear and logistic regression\u003c\/li\u003e\n\u003cli\u003eUnsupervised methods\u003c\/li\u003e\n\u003cli\u003eExploring advanced methods\u003c\/li\u003e\n\u003cb\u003ePART 3 DELIVERING RESULTS\u003c\/b\u003e\u003cli\u003eDocumentation and deployment\u003c\/li\u003e\n\u003cli\u003eProducing effective presentations\u003c\/li\u003e\n\u003c\/ol\u003e","brand":"Manning Publications Company","offers":[{"title":"Default Title","offer_id":47051377475824,"sku":"9781617291562","price":49.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781617291562_p0.jpg?v=1763852308","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781617291562","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}