This course introduces time series analysis and forecasting methods. Learners will be armed with knowledge on how to identify research problems, how to collect time series data and conduct preliminary analysis to discover the characteristics of the data, how to choose appropriate forecasting methods, how conduct these methods, as well as how to evaluate the forecast results and deal with practical issues when forecasting. In each part, learners will be provided theoretical knowledge and hands-on practice with real data on R software.