Agricultural Analytics & Productivity - Post-Diploma Certificate in Agribusiness and Analytics (SDAA)

About This Course

This module aims to equip students with the knowledge of the emerging phenomena of using data to achieve business objectives. Data analytics enables businesses to realize the full potential of data (generated from various business processes, primary and complementary sources), thus improving the effectiveness in generating business insights and intelligence for optimal decision-making purposes. The module will demonstrate how data can be prepared and used in the agricultural industry for productivity and decision-making. Students will learn to use data analytics to unlock the value of data and enact decisions. This technology can be applied in areas such as predictive maintenance, sales forecasting or supply optimization. Students will also be equipped with the foundational skills and knowledge required to get started with data analytics. This includes the ability to explain various data modeling techniques and data preparation techniques, perform modeling and prediction, and do hands-on laboratory exercises on agriculture-related use cases.