{"product_id":"statistics-slam-dunk-statistical-analysis-with-r-on-real-nba-data-9781633438682","title":"Statistics Slam Dunk: Statistical Analysis with R on Real NBA Data","description":"\u003cb\u003eLearn statistics by analyzing professional basketball data! In this action-packed book, you'll build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language.\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eStatistics Slam Dunk is an engaging how-to guide for statistical analysis with R. Each chapter contains an end-to-end data science or statistics project delving into NBA data and revealing real-world sporting insights. Written by a former basketball player turned business intelligence and analytics leader, you'll get practical experience tidying, wrangling, exploring, testing, modeling, and otherwise analyzing data with the best and latest R packages and functions. \u003cp\u003e\u003c\/p\u003e In \u003ci\u003eStatistics Slam Dunk\u003c\/i\u003e you'll develop a toolbox of R programming skills including: \u003cp\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eReading and writing data\u003c\/li\u003e \u003cli\u003eInstalling and loading packages\u003c\/li\u003e \u003cli\u003eTransforming, tidying, and wrangling data\u003c\/li\u003e \u003cli\u003eApplying best-in-class exploratory data analysis techniques\u003c\/li\u003e \u003cli\u003eCreating compelling visualizations\u003c\/li\u003e \u003cli\u003eDeveloping supervised and unsupervised machine learning algorithms\u003c\/li\u003e \u003cli\u003eExecuting hypothesis tests, including t-tests and chi-square tests for independence\u003c\/li\u003e \u003cli\u003eComputing expected values, Gini coefficients, z-scores, and other measures\u003c\/li\u003e \u003c\/ul\u003e \u003cbr\u003eIf you're looking to switch to R from another language, or trade base R for tidyverse functions, this book is the perfect training coach. Much more than a beginner's guide, it teaches statistics and data science methods that have tons of use cases. And just like in the real world, you'll get no clean pre-packaged data sets in Statistics Slam Dunk. You'll take on the challenge of wrangling messy data to drill on the skills that will make you the star player on any data team. \u003cp\u003e\u003c\/p\u003e Foreword by Thomas W. Miller. \u003cp\u003e\u003c\/p\u003e Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the technology\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003ci\u003eStatistics Slam Dunk\u003c\/i\u003e is a data science manual with a difference. Each chapter is a complete, self-contained statistics or data science project for you to work through--from importing data, to wrangling it, testing it, visualizing it, and modeling it. Throughout the book, you'll work exclusively with NBA data sets and the R language, applying best-in-class statistics techniques to reveal fun and fascinating truths about the NBA. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the book\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e Is losing basketball games on purpose a rational strategy? Which hustle statistics have an impact on wins and losses? Does spending more on player salaries translate into a winning record? You'll answer all these questions and more. Plus, R's visualization capabilities shine through in the book's 300 plots and charts, including Pareto charts, Sankey diagrams, Cleveland dot plots, and dendrograms. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eWhat's inside\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eTransforming, tidying, and wrangling data\u003c\/li\u003e \u003cli\u003eApplying best-in-class exploratory data analysis techniques\u003c\/li\u003e \u003cli\u003eDeveloping supervised and unsupervised machine learning algorithms\u003c\/li\u003e \u003cli\u003eExecuting hypothesis tests and effect size tests\u003c\/li\u003e \u003c\/ul\u003e \u003cbr\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e For readers who know basic statistics. No advanced knowledge of R--or basketball--required. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the author\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003cb\u003eGary Sutton\u003c\/b\u003e is a former basketball player who has built and led high-performing business intelligence and analytics organizations across multiple verticals. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eTable of Contents\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e 1 Getting started\u003cbr\u003e 2 Exploring data\u003cbr\u003e 3 Segmentation analysis\u003cbr\u003e 4 Constrained optimization\u003cbr\u003e 5 Regression models\u003cbr\u003e 6 More wrangling and visualizing data\u003cbr\u003e 7 T-testing and effect size testing\u003cbr\u003e 8 Optimal stopping\u003cbr\u003e 9 Chi-square testing and more effect size testing\u003cbr\u003e 10 Doing more with ggplot2\u003cbr\u003e 11 K-means clustering\u003cbr\u003e 12 Computing and plotting inequality\u003cbr\u003e 13 More with Gini coefficients and Lorenz curves\u003cbr\u003e 14 Intermediate and advanced modeling\u003cbr\u003e 15 The Lindy effect\u003cbr\u003e 16 Randomness versus causality\u003cbr\u003e 17 Collective intelligence\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eGary Sutton\u003c\/strong\u003e is a vice president for a leading financial services company. He has built and led high-performing business intelligence and analytics organizations across multiple verticals, where R was the preferred programming language for predictive modelling, statistical analyses, and other quantitative insights. Gary earned his Undergraduate Degree from the University of Southern California, a Masters from George Washington University, and a second Masters in Data Science, from Northwestern University.\u003c\/p\u003e\u003cbr\u003e","brand":"Manning Publications","offers":[{"title":"Default Title","offer_id":50454343221522,"sku":"9781633438682","price":55.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_390b9a69-574b-45bf-ab24-32d3d4fe6178.jpg?v=1729865795","url":"https:\/\/surprise-castle.myshopify.com\/products\/statistics-slam-dunk-statistical-analysis-with-r-on-real-nba-data-9781633438682","provider":"Surprise Castle","version":"1.0","type":"link"}