This course will provide a basic introduction to univariate and multivariate time series analysis and forecasting which covers a wide range of forecasting methods including classical (Autoregressive and Moving Average models) and Machine Learning approaches. Students will learn how to deal with basic concepts such as stationarity, series decomposition, trend, seasonality and time series smoothing to be able to apply different forecasting techniques.