In this Data Science in Minutes, we will describe what time series forecasting is, and provide several examples of when you can use time series for your data. Time series forecasting is looking at data over time to forecast or predict what will happen in the next time period, based on patterns or re-occurring trends of previous time periods.
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This lesson introduces time series data. We then cover several quantitative time series forecasting methods presenting moving average (MA), weighted moving average (WMA) and exponential models. As we present each type of model we show how to develop the model in Excel (Google Forms).