Statistics Playbook

Statistics Slam Dunk is an R-language textbook that teaches data science skills by analyzing NBA game and player data. It covers reading, writing, transforming, tidying, and wrangling data, as well as exploratory data analysis techniques, visualizations, and machine learning algorithms. The book also discusses practical analysis challenges and offers insights into strategies like losing games on purpose and the impact of hustle statistics on wins and losses.

Format: Hardback
Length: 672 pages
Publication date: 09 February 2024
Publisher: Manning Publications

Statistics Slam Dunk is an exhilarating book that takes you on a journey into the world of exploratory data analysis by delving into the captivating realm of NBA games and player statistics using the powerful R language. This comprehensive textbook aims to enhance your R data science skills by presenting practical analysis challenges based on NBA game and player data. Prepare to tackle the challenge of wrangling messy data, as you embark on a journey to become the star player on any data team. Unlike many other books, this one does not provide clean pre-packaged datasets. Instead, you will develop a toolbox of essential R data skills, including reading and writing data, installing and loading packages, transforming, tidying, and wrangling data, applying best-in-class exploratory data analysis techniques, creating compelling visualizations, developing supervised and unsupervised machine learning algorithms, executing hypothesis tests, including t-tests and chi-square tests for independence, and computing expected values, Gini coefficients, and z-scores.

In this unique guide, each chapter employs cutting-edge data science techniques to uncover fascinating insights, such as whether losing games on purpose is a rational strategy and which hustle statistics have an impact on wins and losses. As you delve deeper into the data, you will discover amazing insights that were previously hidden, thanks to the power of statistical analysis with R. R is a versatile technology built specifically for data, offering a wide range of modelling and statistical techniques such as regression and classification models, time series forecasts, and clustering algorithms. When it comes to visualizing your results, R's visualizations are truly stunning, with best-in-class plots and charts that help you understand and interpret the data more effectively.

So, whether you are a basketball enthusiast, a data scientist, or simply someone interested in learning new skills, Statistics Slam Dunk is the perfect book for you. Join the adventure and unlock the secrets hidden within the raw data using the powerful R language. Get ready to dominate the world of data science and make your mark in the exciting field of NBA analytics!

Weight: 1234g
Dimension: 235 x 190 x 33 (mm)
ISBN-13: 9781633438682