Module code | STC 137 |
Qualification | Undergraduate |
Faculty | Faculty of Natural and Agricultural Sciences |
Module content | Data literacy in modern society: fundamental understanding of data and its presentation. Data ethics, importing, cleaning, manipulation and handling. Sources and types of data. Sampling methods and the collection of data. Statistical concepts are demonstrated and interpreted through Excel (practical coding) and simulation within a data science framework. |
Module credits | 8.00 |
NQF Level | 05 |
Programmes |
BSc specialising in Chemistry 4-year programme
BSc specialising in Ecology 4-year programme BSc specialising in Geoinformatics 4-year programme BSc specialising in Geology 4-year programme BSc specialising in Human Physiology 4-year programme BSc specialising in Mathematics 4-year programme BSc specialising in Meteorology 4-year programme BSc specialising in Physics 4-year programme BScAgric specialising in Applied Plant and Soil Sciences 5-year programme BScAgric specialising in Plant Pathology 5-year programme |
Prerequisites | Admission to relevant programme. |
Contact time | 1 tutorial per week, 2 lectures per week, Foundation Course |
Language of tuition | Module is presented in English |
Department | Statistics |
Period of presentation | Semester 1 |
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