(2/2) The course covers the following topics:
✅ Time series decomposition
✅ Covariance and correlation
✅ Autoregressive (AR) models
✅ Moving average (MA) models
✅ Forecasting with ARIMA models
✅ Univariate state-space models
✅ Dynamic linear models
✅ Hidden Markov models