Dr. Zvi Gilula

Professor, Chicago Booth

Course Name: 
How to Master Categorical Data Analysis for Business Insights
Topics to be covered: 
  • Discover the foundations of categorical data analysis by utilizing Dr. Zvi Gilula's vast expertise in business analytics and statistical techniques.
  • Discover more about sophisticated methods for analyzing categorical data that Dr. Gilula has thoroughly studied and used in a variety of business settings, such as logistic regression, chi-square tests, and latent class analysis.
  • Gain insight into the use of categorical data analysis in operations, finance, and marketing by utilizing Dr. Gilula's extensive background in these areas.
  • Learn how to analyze data effectively using software tools like R, SAS, and Python. You will also get useful insights into decision-making processes that are driven by data.
  • Examine case studies and practical applications to learn how categorical data analysis can inform strategic choices and yield insightful business information.

Professor Zvi Gilula of the Booth School of Business at the University of Chicago is renowned for his knowledge of statistical analysis and its business applications. Dr. Gilula is a distinguished scholar and industry veteran who has made substantial contributions to the field of business analytics.

Dr. Gilula is a leading expert in the field of categorical data analysis because of his extensive publication history in prestigious journals. His research covers a wide range of industries and offers practical insights that have aided companies in streamlining their operations and strategy.

Dr. Gilula served as an associate editor for the Journal of the American Statistical Association from 1986 to 2006, where he contributed to shaping the field of statistics. He also held an associate editor position at the International Journal of Marketing Research from 2000 to 2007, furthering his impact on marketing research methodologies.

Dr. Gilula is celebrated for his ability to translate complex statistical concepts into practical applications, enabling business professionals to harness the power of data in their decision-making processes.

As a skilled user of R, SAS, and Python among other statistical software and programming languages, he is an invaluable asset to anyone trying to improve their data analysis abilities.

Associated Universities

University of Chicago Booth School of Business | Hebrew University of Jerusalem | American Statistical Association | International Statistical Institute


  • Dr. Gilula's technical expertise encompasses a wide range of statistical methodologies, including categorical data analysis, logistic regression, and latent class analysis. His contributions to the field have been recognized through numerous awards and honors.
  • His consulting portfolio includes collaborations with prestigious companies such as Roche Holdings in Europe, GTE, Prudential, TNS, Kantar in the UK, and Morningside Technology in China. Dr. Gilula has provided invaluable methodological consulting, helping these organizations leverage statistical insights for better decision-making. He has also been a long-term advisor to the Israel National Lottery and remains actively involved in high-frequency algorithmic trading.
  • For the past 18 years, Dr. Gilula has supervised TV ratings in Israel, ensuring accurate and reliable data collection and analysis. Additionally, for the last 14 years, he has provided expert opinions on the distinction between "Chance vs. Skill" in online gaming industries, including poker, backgammon, and fantasy sports. His insights have benefited major global companies, such as Electronic Arts and DraftKings.
  • Dr. Gilula's academic journey is rooted in Hebrew University, where he earned his bachelor's, master's, and Ph.D. degrees in statistics. His election as a fellow of both the Royal Statistical Society and the American Statistical Association acknowledges his academic excellence.