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How to Analyze Google's Algorithm: The Math & Skills You Need
Do you want to spend money on ads or solve this black box?”
That (rough) question helped to determine the path of my career 10+ years ago into becoming the SEO I am today.
I chose this path because I love working at challenges and looking under the hood for what causes something to happen.
Seeking to solve the answer to life, the universe, and everything given with the help of Google Deep Throat as 42 and then double-checking that I had the right question (spoiler: it’s ) is what excites me with SEO
So, for those that know me, you won’t be surprised to see that I stand against the view that a basic correlation analysis, even with the use of Spearman’s coefficient, is sufficient for analyzing Google’s algorithm.
Other advanced statistical methods, be it Machine Learning or Neural Networks, have their role to play.
But for this article, I’m focusing on regressions.
An important caveat to the use of statistical methods is that a tool by itself or tacked on at the end does not in of itself qualify as a good study.
That’s where having the right data analysis skills with SEO experience comes into play.
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