We provide a practical guide to applied time series analysis using ordinary least squares. In our opening chapter we discuss the ways in which time series data are different than cross-sectional data and then introduce the statistical consequences for those differences. We provide guidelines for assembling a time series dataset – including discussions of sampling windows, sampling intervals, data length, and operationalizing variables. We then provide a brief outline of the remainder of the book.