Recently, we covered basic concepts of time series data and decomposition analysis. We started talking about common patterns of time series data, like trend, season, and cycle. Then, we described how to explore these patterns using classic decomposition methods. Following that, it’s now time to apply that knowledge to a practical algorithm. In this piece, we provide an overview of Exponential Smoothing Methods.