Introduction to Quantitative Methods in Economics and Finance

This course is a rigorous introduction to quantitative methods for students intending to study economics, finance, accounting, marketing, and management science.

Examples are drawn from these areas.

Topics covered include probability distributions, statistical inference, multiple linear regression, logistic regression, optimization, and machine learning.

This course focuses on applications, illustrating concepts with datasets.

The statistical programming language, Python, is completely integrated into the course.

Students may count one of the following courses toward a degree or certificate, but not more than one: MGMT E-104, STAT E-100 , STAT E-101 (offered previously), STAT E-102 , or STAT E-104 (offered previously).