This video demonstrates how to perform time series forecasting using Analytic Solver, a powerful data mining and machine learning extension for Excel. You’ll learn how to apply both moving average and exponential smoothing methods to model and forecast trends in time-based data.
Although this tutorial uses Analytic Solver in Excel, the methods and insights demonstrated here are fully transferable to other platforms, including Python and R.
📊 What You'll Learn:
How to perform time series forecasting in Excel using Analytic Solver
How moving average and exponential smoothing techniques work
Step-by-step setup of models and interpretation of results
How to compare forecast accuracy and identify patterns
How these techniques apply to tools like Python, R, or other data mining software
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