If you are looking to learn the foundation of time series analysis and forecasting, I recommend checking the Applied Time Series Analysis course from the University of Washington. The course by Prof Eli Holmes, Prof. Eric Ward, and Prof. Mark Scheuerell focuses on the foundation of time series analysis with applications for environmental science.
(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
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