Yearbooks

The science of data analytics 353


 
Modulekode STK 353
Kwalifikasie Undergraduate
Fakulteit Faculty of Economic and Management Sciences
Module-inhoud

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.

Modulekrediete 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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