This course, part of a Machine Learning for Supply Chain Fundamentals specialization, explores all aspects of time series for demand prediction. It covers basic concepts like stationarity, trend, and seasonality, and then moves to autoregressive models and a final project on predicting demand using ARIMA in Python.
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