Overview

This course introduces students to statistical learning techniques and their application to actuarial analysis and decision-making. It covers various aspects of data analysis, including: exploratory data analysis; classification and prediction using regression and generalized linear models; descriptive, inferential, and predictive analysis and models; statistical and machine learning, including supervised and … For more content click the Read More button below.

Conditions for Enrolment

Prerequisite: ACTL2131 or (MATH2931 and in B. Data Science and Decisions (3959)) or MATH2901

Course Attributes

General Education

Delivery

Multimodal - Standard (usually weekly or fortnightly)
In-person - Standard (usually weekly or fortnightly)

Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)