Time Series Data Forecasting with Moving Average Method_Excel

Tutorial on Time Series data Forecasting by Moving Average method in Excel.
A forecast can help you predict things like future sales, inventory needs, or consumer trends based on historical data.
In this video, we'll be calculating Moving Averages. And we'll also be computing Error Measures.
The Mean Absolute Deviation (MAD)
The Mean Squared Error (MSE)
and the Mean Absolute Percent Error (MAPE)
We use MAPE, MAD, and MSD statistics to compare the fits of different forecasting and smoothing methods.
For all three measures, smaller values usually indicate a better fitting model.
Also, You'll learn how to use Excel's Data Analysis feature for computing Moving Averages in just few clicks.

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