Introduction to Quantitative Methods for Economics and Finance

Harvard Extension School

MGMT E-104

Section 1

CRN 16613

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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, R, 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.

Registration Closes: August 29, 2024
Credits: 4

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Term

Fall Term 2024

Part of Term

Full Term

Format

Flexible Attendance Web Conference

Credit Status

Graduate

Section Status

Open

Instructor Info

Sudhakar Raju, PhD

Professor of Finance and Data Science, Rockhurst University


Meeting Info

T 6:00pm - 8:00pm (9/3 - 12/21)

Participation Option: Online Asynchronous or Online Synchronous

In online asynchronous courses, you are not required to attend class at a particular time. Instead you can complete the course work on your own schedule each week.

Deadlines

Last day to register: August 29, 2024

Prerequisites

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

Notes

This course meets via web conference. Students may attend at the scheduled meeting time or watch recorded sessions asynchronously. Recorded sessions are typically available within a few hours of the end of class and no later than the following business day.

Syllabus

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Tuition

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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 T 6:00pm - 8:00pm
 Sep 3 to Dec 21
26002 1 Online Asynchronous, Online Synchronous Sudhakar Raju Open T 6:00pm - 8:00pm
 Jan 27 to May 17

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