Business Analytics and Statistics

Course Code
TO 301
4 hours
  • Fall 21
  • Fall 22
MATH 115 and ECON 101; (C- or better)

Business Analytics and Statistics --- The ability to make intelligent decisions based on data and information is critical for both managers and firms, particularly in the modern era with large amounts of data readily available. This course teaches the fundamental analytical and statistical tools to enable such analysis and decision-making. Students are taught how to describe, gather and analyze business data. This entails hands-on computer exercises on real data sets, both in class and in homework assignments. Model-building, analysis, and effective communication of recommendations are taught, using examples from a variety of business contexts such as finance, marketing, operations, and strategic management.

Taught By
Murat Koksalan
  • LEO Intermittent Lecturer of Technology and Operations
Murat Köksalan is a visiting professor at the Technology and Operations area of the Ross School of Business, University of Michigan, Ann Arbor...
Peter Lenk
  • Professor of Technology and Operations
Peter Lenk studies Bayesian inferential and forecasting models. He has applied these models to marketing, finance, and information science. In...
Mohamed Mostagir
  • Associate Professor of Technology and Operations