Predictive Causality & Forecasting Analytics

Catalog description

This course covers methods for identifying causal relationships and developing forecasts to inform decision-making. Students design and implement causal models, evaluate intervention impacts, and use time series and machine learning techniques for forecasting. The course emphasizes application to organizational datasets to support scenario analysis and planning. Through hands-on projects, students connect statistical approaches to practical analytics for organizational context-driven tools.