This course aims to equip you with the expertise to effectively fit ARIMA models to time series data using R. The course begins by providing an in-depth exploration of the characteristics of time series data, utilizing the tools available in the R stats package. Subsequently, you will gain practical experience in fitting different ARMA models to simulated data, where the correct model is known, through the utilization of the astsa package in R. Once you have established a solid foundation, you will progress to fitting integrated ARMA models, or ARIMA models, to a variety of real-world data sets. Additionally, you will learn how to assess the validity of an ARIMA model and develop the skills to forecast time series data accurately. Lastly, the course will cover the fitting of ARIMA models to seasonal data, incorporating forecasting techniques using the astsa package.