Introduction to Quantitative Methods in Economics and Finance

Harvard Extension School

MGMT E-104

Section 2

CRN 27076

View Course Details
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).

Instructor Info

Saraf Nawar, PhD

Instructor of Finance, University of Massachusetts, Lowell and Instructor of Physics, Roger Williams University


Meeting Info

Th 6:30pm - 8:30pm (1/25 - 5/15)

Participation Option: Online Synchronous

Deadlines

Last day to register:

Prerequisites

Prior college-level course in statistics, and prior courses in economics or finance recommended. Familiarity with Excel. Familiarity with Python is desirable but not required.

Notes

This course meets via web conference. Students must attend and participate at the scheduled meeting time. See minimum technology requirements.

All Sections of this Course

CRN Section # Participation Option(s) Instructor Section Status Meets Term Dates
16613 1 Online Asynchronous, Online Synchronous Sudhakar Raju Open M 11:00am - 1:00pm
Aug 31 to Dec 19
27229 1 Online Asynchronous, Online Synchronous Sudhakar Raju Open M 11:00am - 1:00pm
Jan 25 to May 15
26002 2 Online Asynchronous, Online Synchronous Sudhakar Raju Field not found in response. W 11:00am - 1:00pm
Jan 26 to May 16
27076 2 Online Synchronous Saraf Nawar Open Th 6:30pm - 8:30pm
Jan 25 to May 15