| 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 |
| Programme | |
| 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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