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.This course is only available to students enrolled in … For more content click the Read More button below.

Conditions for Enrolment

Prerequisite: Must be enrolled in 5646 or 8646 and have completed ZZSC9001 Foundations of Data Science and ZZSC5905 Statistical Inference for data scientists or equivalent

Delivery

Fully online - Intensive

Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)