How to Use Python to Forecast Demand, Traffic, And More For SEO

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The longer you participate in the SEO game, the better chance you’ll have of eventually having to deliver a forecast. Forecasting will always offer you great value in search engine optimization, but what if you’ve never done it before?

In a column on Search Engine Journal, Andreas Voniatis will show us how to get data-driven answers about some potential trends by using Python.

The article will talk about some of the following:

  • Pull and plot your data.
  • Use automated methods to estimate the best fit model parameters.
  • Apply the Augmented Dickey-Fuller method (ADF) to statistically test a time series.
  • And more!

Check out the full article here!

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