This paper presents some popular classical methods used for time series analysis and prediction. At first relatively simple models of averaging and smoothing are described, then autoregressive and moving average models, and a “mixed” autoregressive-moving-average model as a result of crossing of the latter two mentioned models. At last an autoregressive integrated moving average model is described.