John Draper

Assistant Professor of Clinical Operations and Business Analytics

Operations and Business Analytics

Background

John Draper is an Assistant Professor of Clinical Operations and Business Analytics in the Fisher College of Business at The Ohio State University. He has a PhD and MS in statistics from Ohio State as well as BS degrees in mathematics and statistics from Florida State University.  His extensive experience in education at Ohio State includes courses statistical theory, business analytics, engineering, operations, six sigma, statistical computing/datascience, and sports analytics at both the graduate and undergraduate level as well as biostatistics courses for graduate-level students in the College of Public Health and Dentistry.  He currently serves as the Co-academic Director of the Specialized Masters of Business Analytics and the Academic Director of the Executive Education Master Black Belt.

His professional experiences include roles as a statistical consultant as well as positions at Battelle Memorial Institute as well as developing educational resources for Cengage Learning and McGraw-Hill. Draper is a member of the American Statistical Association, and the recipient of the Thomas E. and Jean D. Powers Award for Outstanding Teaching Associate. In 2021, he received the Bostic-Georges Faculty Pace-Setters Award for contributions to assist with the transition to online learning.

Draper is a proud alum of The Ohio State University Marching Band (2003-07) and the Florida State University Marching Chiefs (1999-2003). He has also worked closely with the OSUMB in halftime show design since 2006.

 

Areas of Expertise

  • Business Analytics
  • Sports Analytics
  • Data Science/Statistical Computing
  • Executive Education
  • Six Sigma methodology

Education

  • PhD in Statistics, The Ohio State University
  • MS in Statistics, The Ohio State University
  • BS in Mathematics, Florida State University
  • BS in Statistics, Florida State University

Courses

BUSOBA 6400 - Statistics and Data Analysis for Managers
Students will learn how to work with data, formulate questions, and most importantly, learn comprehensive problem solving techniques to extract and explain pertinent information from data. The course will track the problem solving process from problem formulation to data acquisition/cleaning to data analysis and conclusion to communication of the results. Prereq: Enrollment in the SMB-A program, or permission of instructor.
BUSOBA 7256 - Tools for Data Analysis
This course is designed to introduce students to commonly used software programs in data science and improve students' problem solving skills and logical thought processes. Students will be exposed to R, SAS, and SPSS. Prereq: MBA 6271 or 6273.
BUSOBA 2320 - Decision Sciences: Statistical Techniques
Examination of the use of statistical techniques in managerial decision-making processes; statistical inference, simple and multiple regression, time series. Prereq: Math 1131 or 1151, and Stat 1430, and CSE 1113 or 2111, and Econ 2001.01. Prereq or concur: Econ 2002.01. This course is available for EM credit.
BUSOBA 4242 - Business Sports Analytics
Analytical techniques and quantitative methods are on the rise in many areas of industry, and, of late, have made their foray into the sports realm. Skills such as critical thinking, mathematical modeling, statistical analysis, predictive analytics and optimization are crucial in the data-centric realm. The class seeks to develop and refine these skills in the business application area of sports. Prereq: Stat 3202, or permission of instructor.
BUSOBA 6221 - Data Analysis for Financial Management Part I
Introduction to data analysis and statistics for business. Emphasis on achieving an application-oriented understanding of statistical inference and regression analysis and their use in decision making. Part I of 2 course sequence. Prereq: Enrollment in MBOE or SMB-Finance Program Course. Not open to students with credit for 870. This course is progress graded.
BUSOBA 6222 - Data Analysis for Financial Management Part II
Introduction to data analysis and statistics for business. Emphasis on achieving an application-oriented understanding of statistical inference and regression analysis and their use in decision making. Part 2 of 2 course sequence. Prereq: Enrollment in MBOE or SMB-Finance Program Course. Concur: 6221. Not open to students with credit for 870.
BUSOBA 7334 - Sports Analytics
Analytical techniques and quantitative methods are on the rise in many areas of industry, and, of late, have entered the sports realm. Students will expand their critical thinking skills, explore the current state of sports analytics, summarize data creatively, improve data-based decision making, and optimize output in real-world situations as well as improve presentation skills to the non-quant. Prereq: Enrollment in SMB-Analytics program, or permission of instructor.
BUSOBA 7331 - Descriptive Analytics and Visualization
Visualization is an effective way to communicate the underlying patterns of data. Students will learn different types of visualization and how to compose and combine them using R. This course covers a wide range of visualization from simple to complex, static to interactive, and familiar to exotic. Students will also be exposed to how to describe and visualize unstructured data such as texts. Prereq: 6400, 7250, enrollment in SMB-Analytics program, or permission of instructor.