We will explore techniques for time series analysis such as exponential smoothing,
seasonal decomposition, and ARIMA Box-Jenkins models. In doing so, we will develop
a strong theoretical foundation for all of these methods. We then implement these
techniques using a combination of SAS and R on multiple real-life datasets in the
computer lab. Emphasis will be placed not only on data analysis, but statistical
communication, as well.