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SummaryPractical 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 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.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the BookBusiness 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.Practical Data Science with R 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.This book is accessible to readers without a background in data science. Some familiarity with basic statistics, R, or another scripting language is assumed.What's InsideData science for the business professionalStatistical analysis using the R languageProject lifecycle, from planning to deliveryNumerous instantly familiar use casesKeys to effective data presentationsAbout the AuthorsNina Zumel and John Mount 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.Table of ContentsPART 1 INTRODUCTION TO DATA SCIENCEThe data science processLoading data into RExploring dataManaging dataPART 2 MODELING METHODSChoosing and evaluating modelsMemorization methodsLinear and logistic regressionUnsupervised methodsExploring advanced methodsPART 3 DELIVERING RESULTSDocumentation and deploymentProducing effective presentations : R for Data Science: Import Tidy Transform ... Buy R for Data Science: Import Tidy Transform Visualize and Model Data on FREE SHIPPING on qualified orders Machine Learning A-Z: Hands-On Python & R In Data Science ... Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included. 23 Free Data Science Books - Hi. I'm William. 23 Free Data Science Books. Last updated January 17 2017. As a data scientist at Quora I often get asked for my advice about becoming a data scientist. Top Data Science Online Courses in 2017 LearnDataSci Data Science Online Courses: A Comprehensive List for 2017. The following is an extensive list of Data Science courses and resources that give you the skills needed ... Data Science Training in India Data Science Training provides latest in the field of data science free & paid training available around the world. Data Science Certification Training - R Programming This Data Science training course helps you master the predictive modelling techniques for big data analytics you need for Data Scientist certification. Data Science Bootcamp Data Science Dojo Its immediately clear that Raja loves to teach and his passion for data science is infectious. Best of all Raja will teach you about the big pitfalls in data ... 10 great books about R - Data Science Central Books about the R programming language fall in different categories: Learning R Reference books for the professional R programmer Books about data science or Data Science - Johns Hopkins University Coursera Data Science from Johns Hopkins University. Ask the right questions manipulate data sets and create visualizations to communicate results. ... Data Science Central Data Science Central is the industry's online resource for big data practitioners. From Analytics to Data Integration to Visualization Data Science Central provides ...
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