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158.222 Data Wrangling and Machine Learning (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:
- Special notes
- Expected prior learning
An introduction to the data science workflow involving the acquisition, processing, transformation and integration of data from disparate sources having inherently different data structures, from which actionable insights can be extracted. Entry-level machine learning and statistical techniques for analysing and extracting knowledge from data will be covered. Particular emphasis will be placed on attaining competency in using a high-level programming language for conducting data-driven problem solving and appreciating the necessary agility such tools afford.
(159.101 or 159.100) and one of (1611xx, 160.101, 160.102)
General Prerequisite: At least 45 credits from 100 level.
|2021 *||Semester One full semester||Internal||Auckland Campus|
|2021 *||Semester One full semester||Distance|
|2022||Semester One full semester||Internal||Auckland Campus|
|2022||Semester One full semester||Distance|
* Due to recent changes you should carefully check this offering to confirm details before you enrol.
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