|Module code||STK 353|
|Faculty||Faculty of Economic and Management Sciences|
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.
|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|
|Period of presentation||Semester 2|
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