To build a time series model, start by collecting and cleaning your data. Next, perform exploratory data analysis to identify patterns and trends. Choose an appropriate model based on your findings, such as ARIMA for stationary series or LSTM for complex patterns. Train your model on a portion of the data, then test and adjust it for accuracy using the remaining data.