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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)