158.222 Data Wrangling and Machine Learning (15 credits)

IMPORTANT NOTE:There have been changes to this course for 2020. For 2019 enrolments please check the individual offering description below to confirm details for:

  • Requirements
  • Expected prior learning
  • Learning outcomes

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.

Requirements Requirements help

Offerings Offerings help

Year Semester Mode Location
2019 * Semester One full semester Internal Auckland Campus
2020 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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