Gary Sutton

Gary Sutton has built and led high-performing business intelligence and analytics organizations across multiple verticals, where R was the preferred programming language for statistical analysis, predictive modeling, and other quantitative insights. Mr. Sutton earned his undergraduate degree from the University of Southern California, a master’s from George Washington University, and a second master’s, in data science, from Northwestern University. He is an avid reader, former Ironman triathlete, and former basketball player.

books by Gary Sutton

Statistics Every Programmer Needs
  • July 2025
  • ISBN 9781633436053
  • 448 pages
Included with a Manning Online subscription
  • printed in black & white
catalog / Other

Statistics Every Programmer Needs teaches you how to apply statistics to the everyday problems you’ll face as a software developer. Each chapter is a new tutorial. You’ll predict ultramarathon times using linear regression, forecast stock prices with time series models, analyze system reliability using Markov chains, and much more. The book emphasizes a balance between theory and hands-on Python implementation, with annotated code and real-world examples to ensure practical understanding and adaptability across industries.

Statistics Slam Dunk
  • January 2024
  • ISBN 9781633438682
  • 672 pages
Included with a Manning Online subscription
  • printed in black & white
catalog / Data Science / Miscellaneous

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.