The goal of this course is to provide students with practical experience in building and analyzing regression models to address business problems.
The course picks up where the core course in Managerial Statistics left off. We will begin with a brief review of regression analysis as covered in the core and then move on to new topics, including the following:
- Capturing and understanding interaction effects
- Using regression diagnostics for model selection
- Nonlinear regression
- Classification problems
All material will be covered through examples, exercises, and cases.
In addition, students will work in groups on a final project of their choosing. The goal of the project is to address a specific business problem through statistical analysis.
This course will have a final project but no final exam.
What work will be required for this course?
We will have regular assignments illustrating the tools covered in class and a final project.
Where will I get data for my final project?
I hope you will formulate your own project based on interesting data you have access to through your work or teammates. If that proves impossible, I will help you find suitable data.
What software will we use?
We will use an easy to use statistical package.
Will the course be difficult?
The course will provide a natural progression from the core class in Managerial Statistics, and I aim to teach it at a similar level of difficulty. This course will involve significantly more hands-on data analysis than the core.
How will grades be determined?
50% Homework, 30% Final project, 20% Class participation
What if I still have more questions?
Feel free to get in touch with me at 212-854-4102, Uris 403, firstname.lastname@example.org.
Jack R. Anderson Professor of Business
Professor Glasserman's research and teaching address risk management, derivative securities, Monte Carlo simulation, statistics and operations. Prior to joining Columbia, Glasserman was with Bell Laboratories; he has also held visiting positions at Princeton University, NYU, and the Federal Reserve Bank of New York. In 2011-2012, he was on leave from Columbia and working at the Office of Financial Research in the U.S...