Statistics Slam Dunk: Statistical Analysis with R on Real NBA Data by Sutton, Gary

Statistics Slam Dunk: Statistical Analysis with R on Real NBA Data

Learn statistics by analyzing professional basketball data! In this action-packed book, you'll build your skills in exploratory...
BD$120.30 BMD
BD$120.30 BMD
SKU: 9781633438682
Product Type: Books
Please hurry! Only 0 left in stock
Author: Gary Sutton
Format: Paperback
Language: English
Subtotal: BD$120.30
10 customers are viewing this product
Statistics Slam Dunk: Statistical Analysis with R on Real NBA Data by Sutton, Gary

Statistics Slam Dunk: Statistical Analysis with R on Real NBA Data

BD$120.30

Statistics Slam Dunk: Statistical Analysis with R on Real NBA Data

BD$120.30
Author: Gary Sutton
Format: Paperback
Language: English
Learn 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.

In Statistics Slam Dunk you'll develop a toolbox of 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 Execute hypothesis tests, including t-tests and chi-square tests for independence Compute expected values, Gini coefficients, and z-scores

Statistics Slam Dunk upgrades your R data science skills by taking on practical analysis challenges based on NBA game and player data. Is losing games on purpose a rational strategy? Which hustle statistics have an impact on wins and losses? Each chapter in this one-of-a-kind guide uses new data science techniques to reveal interesting insights like these. And just like in the real world, you'll get no clean pre-packaged datasets 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.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the technology
Amazing insights are hiding in raw data, and statistical analysis with R can help reveal them! R was built for data, and it supports modeling and statistical techniques including regression and classification models, time series forecasts, and clustering algorithms. And when you want to see your results, R's visualizations are stunning, with best-in-class plots and charts.

About the book
Statistics Slam Dunk: Statistical analysis with R on real NBA data is an interesting and engaging how-to guide for statistical analysis using R. It's packed with practical statistical techniques, each demonstrated using real-world data taken from NBA games. In each chapter, you'll discover a new (and sometimes surprising!) insight into basketball, with careful step-by-step instructions on how to generate those revelations.

You'll get practical experience cleaning, manipulating, exploring, testing, and otherwise analyzing data with base R functions and useful R packages. R's visualization capabilities shine through in the book's 300 visualizations, and almost 30 plots and charts including Pareto charts and Sankey diagrams. Much more than a beginner's guide, this book explores advanced analytics techniques and data wrangling packages. You'll find yourself returning again and again to use this book as a handy reference!

About the reader
Requires a beginning knowledge of basic statistics concepts. No advanced knowledge of statistics, machine learning, R-or basketball-required.

About the author
Gary Sutton 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 modeling, 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.

Author: Gary Sutton
Publisher: Manning Publications
Published: 02/06/2024
Pages: 500
Binding Type: Paperback
Weight: 1.31lbs
Size: 9.25h x 7.38w x 1.25d
ISBN: 9781633438682

Returns Policy

You may return most new, unopened items within 30 days of delivery for a full refund. We'll also pay the return shipping costs if the return is a result of our error (you received an incorrect or defective item, etc.).

You should expect to receive your refund within four weeks of giving your package to the return shipper, however, in many cases you will receive a refund more quickly. This time period includes the transit time for us to receive your return from the shipper (5 to 10 business days), the time it takes us to process your return once we receive it (3 to 5 business days), and the time it takes your bank to process our refund request (5 to 10 business days).

If you need to return an item, simply login to your account, view the order using the "Complete Orders" link under the My Account menu and click the Return Item(s) button. We'll notify you via e-mail of your refund once we've received and processed the returned item.

Shipping

We can ship to virtually any address in the world. Note that there are restrictions on some products, and some products cannot be shipped to international destinations.

When you place an order, we will estimate shipping and delivery dates for you based on the availability of your items and the shipping options you choose. Depending on the shipping provider you choose, shipping date estimates may appear on the shipping quotes page.

Please also note that the shipping rates for many items we sell are weight-based. The weight of any such item can be found on its detail page. To reflect the policies of the shipping companies we use, all weights will be rounded up to the next full pound.

Related Products

Recently Viewed Products