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161.324 Data Mining (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
- Learning outcomes
A practical approach to data mining with large volumes of complex data; prepare, cleanse and visualise data; supervised and unsupervised modelling; ensemble and bundling techniques; use of leading software tools.
Note(s): Access to a Windows PC is required for analysis of data.
One of 161.122, 161.220, 161.221, 161.250 or 161.251
General Prerequisite: At least 45 credits from 200 level.
- Restriction(s): 161.223 and 161.777
|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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