| Module code | LEK 432 |
| Qualification | Undergraduate |
| Faculty | Faculty of Natural and Agricultural Sciences |
| Module content | This course covers data management, data exploration and analytical techniques commonly used for agricultural market analysis within a data science framework. It considers best practices in working with secondary data and covers regression analysis and inference testing as a means to estimate causal relationships between variables. Other analytical techniques will be covered, including cluster analysis. Analytical concepts will be applied and interpreted through practical estimation and simulation. |
| Module credits | 16.00 |
| NQF Level | 08 |
| Programmes | |
| Prerequisites | LEK 220, LEK 320 GS |
| Contact time | 2 practicals per week, 3 lectures per week |
| Language of tuition | Module is presented in English |
| Department | Agricultural Economics Extension and Rural Develo |
| Period of presentation | Semester 2 |
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