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161.323 Multivariate Analysis (15 credits)
IMPORTANT NOTE:There have been changes to this course for 2022. For 2021 enrolments please check the individual offering description below to confirm details for:
- Expected prior learning
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.
One of 161.222, 161.220, 161.221, 161.250, 161.251, 233.214
General Prerequisite: At least 45 credits from 200 level.
- Restriction(s): 161.762
|2021 *||Semester One full semester||Block||Auckland Campus|
|2022||Semester One full semester||Distance|
|2022||Semester One full semester||Internal||Manawatu Campus|
|2022||Semester One full semester||Internal||Auckland Campus|
* Due to recent changes you should carefully check this offering to confirm details before you enrol.
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