The science of data analytics 353

Module code STK 353
Qualification Undergraduate
Faculty Faculty of Economic and Management Sciences
Module content

Data exploration. Data wrangling. Statistical coding. Algorithmic thinking.  Sampling: basic techniques in probability, non-probability, and resampling methods. Text mining and analytics. Machine learning: classification and clustering. Statistical concepts are demonstrated and interpreted through practical coding and simulation within a data science framework.

Module credits 25.00
NQF Level 07
Service modules Faculty of Natural and Agricultural Sciences
Prerequisites STK 210, STK 220, WST 212 or WST 211, WST 221, WST 212
Contact time 1 practical per week, 3 lectures per week
Language of tuition Module is presented in English
Department Statistics
Period of presentation Semester 2

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