|Module code||LEK 432|
|Faculty||Faculty of Natural and Agricultural Sciences|
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.
|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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