Course Details

Business Analytics

Analytics is the discovery and communication of meaningful patterns in data. This course begins by providing students with an analytics toolkit, reinforcing basic probability and statistics while emphasizing the value and pitfalls of reasoning with data. Then the course extends the statistical techniques to allow for the exploration of relations between variables, primarily through multivariate regression. In addition to learning basic regression skills, including modeling and estimation, students will deepen their understanding of hypothesis testing and how to make inferences and predictions from data. Students will also learn new principles such as identification and robustness. The course has an intense focus on managerially relevant applications, cases, and interpretations, with an emphasis on connections among analytical tools, data, and decision-making. Law students will gain insight into the analytic methods used by their clients, and in significant commercial transactions and litigation -- ranging from financial industries, antitrust, class actions, to government regulation. REGISTRATION RESTRICTIONS: JDs should bid only on Section 1 LLMs should bid only on Section 2 PRE-REQUISITIES/RESTRICTIONS: Students need not have any prior coursework in statistics or economics. JDMBA students are not permitted to take this class at the law school, but must take it in their 2J year at Kellogg.

Catalog Number: BUSCOM 432


Course History

Fall 2018
Title: Business Analytics
Faculty: Tahbaz-Salehi, Alireza
Section: 1     Credits: 2.5
Capacity: 43     Actual: 12

Fall 2018
Title: Business Analytics
Faculty: Tahbaz-Salehi, Alireza
Section: 2     Credits: 2.5
Capacity: 22     Actual: 5