Statistical Learning for Analytics (BUSA90565)

Statistical modelling and prediction are applied in a wide range of sectors, including marketing, finance, and human resource management. This subject equips students with the preliminary skills to extract insights from complex datasets, facilitating informed business decisions. Students learn methods ranging from traditional regression and time-series analysis to multivariate models and emerging approaches using historical data. With a focus on case-based studies and industry applications, topics include data exploration, resampling, regression, classification, and model selection.