In this chapter, you will be introduced to some of the fundamental concepts of time series data and time series analysis: autoregression, autocorrelation, serial correlation, stationarity, exogeneity, weak dependence, trending, seasonality, structural breaks, and stability .
Read moreWhat is the concept of time series analysis?
Time series analysis is a specific way of analyzing a sequence of data points collected over an interval of time . In time series analysis, analysts record data points at consistent intervals over a set period of time rather than just recording the data points intermittently or randomly.
Read more