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158.222 Data Wrangling and Machine Learning (15 credits)
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.
Note(s): Students who have completed 159.101 Technical Programming 1 with a grade of B+ (or higher) may be eligible for direct entry into this course. Please contact the Academic Dean Information Sciences at firstname.lastname@example.org for further details.
(159.102 or 159.172) and (161.101, 161.111, 161.120, 161.122 or 161.130)
General Prerequisite: At least 45 credits from 100 level.
|2021||Semester One full semester||Internal||Auckland Campus|
|2021||Semester One full semester||Distance|
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