STAT4350-A Predictive Analytics (Spring 2021)

Course Details

Session, Dates: 1 (01/19/2021 - 04/30/2021)
Days: M W F
Time: 02:00 - 02:50 pm
Location: Moon Campus
Room: Massey Hall THE
Seats Available: 5 Seats
Credits: 3

Course Description

This course is designed to give students exposure to developing actuarial, statistical, and predictive models, and analyzing the types of data that are relevant to various areas of actuarial science, including life insurance, property/casualty insurance (general insurance), and pensions. Students will do this through a variety of projects using a combination of statistical modeling and predictive analytics methods with a focus on the communication of results. This course builds on the types of analysis learned in more basic courses; it assumes a working knowledge of spreadsheet and statistical software packages, as well as an understanding of the basic regression and time series models.

Prerequisites: STAT4250, STAT4230 and ASCI4140 Note that STAT4230 can be taken concurrently with this course.

About the Instructor(s)

Adam B. Combs, Ph.D.
Assistant Professor of Statistics/Actuarial Science
412-397-4048 phone
412-397-4075 fax
John Jay 319