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Agricultural economics 332


 
Module code LEK 332
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 07
Service modules Faculty of Economic and Management Sciences
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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