Statistics Slam Dunk Meap V11 All 20 Chapters Gary Sutton by Gary Sutton 9781633438682, 1633438686 instant download after payment.

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. Statistics Playbook 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 Playbook. 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.
 
In Statistics Slam Dunk: Statistical analysis with R on real NBA data 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