The class topics are divided into twelve modules. There will be readings and/or recording associated with each module.

M1 - Getting started, Intro to TSA, R and RStudio
M2 - Autocovariance and autocorrelation
M3 - Trend and seasonality
M4 - Missing data and outliers
M5 - ARIMA Models
M6 - Seasonal ARIMA Models
M7 - Intro to forecasting
M8 - Model Performance
M9 - State space models
M10 - Advanced forecasting models
M11 - Model based scenario generation



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