ESMA 431 Time Series Forecasting

Time Series Forecasting introduces students to techniques for analyzing and predicting data over time. The course covers key concepts such as trend analysis, seasonality, and autocorrelation. Students learn to apply statistical and machine learning methods, including ARIMA and exponential smoothing to real-world datasets.