Applications in data science 212

Module code WST 212
Qualification Undergraduate
Faculty Faculty of Economic and Management Sciences
Module content

Introductory machine learning concepts. Data base design and use. Data preparation and extraction. Statistical modelling using data base structures. Statistical concepts are demonstrated and interpreted through practical coding and simulation within a data science framework.

Module credits 12.00
Prerequisites WST 111, WST 121 or STK 110, STC 122
Contact time 1 practical per week, 2 lectures per week
Language of tuition Module is presented in English
Department Statistics
Period of presentation Semester 1

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