This document provides an introduction to time series analysis and forecasting. It discusses key concepts like stationarity, different time series models including ARIMA and Holt-Winters, and the general modeling process of preprocessing data, building models, and evaluating performance. An example is shown applying Holt-Winters seasonal method to the Air Passengers dataset to illustrate modeling and forecasting. The document aims to give a gentle overview of common techniques and steps involved in time series analysis.