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Overview

This fully-online course gives students a methodological background in Multivariate Analysis as a backbone of Applied Statistics. It introduces some of the most commonly applied multivariate techniques, such as: mean vector and covariance matrix estimation and testing, estimation and testing of correlations, principal component analysis, canonical correlation analysis, cluster analysis, … 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)