161.323 Multivariate Analysis (15 credits)
This course teaches methods to understand patterns and structures inherent in data sets containing many variables. The fundamentals of data visualisation, clustering, and dimension reduction with examples taken from a range of applications.
Note(s): Access to a Windows PC is required for analysis of data.
Requirements 
-
Prerequisite(s):
One of 161.220, 161.221, 161.250 or 161.251
General Prerequisite: At least 45 credits from 200 level. - Restriction(s): 161.762
Offerings
| Year | Semester | Mode | Location |
|---|---|---|---|
| 2021 | Semester One full semester | Block | Auckland Campus |