Overview

The course gives a methodological background in Multivariate Analysis as a backbone of Applied Statistics. It introduces multivariate techniques including principal component analysis; canonical correlation analysis; cluster analysis; factor analysis and discriminant analysis. Computing and data analysis features prominently in this course. Pre-requisites: 24 units of level III mathematics or … For more content click the Read More button below. Note: Course not offered every year. Contact School for more information.

Delivery

In-person - Standard (usually weekly or fortnightly)

Course Outline

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Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)