SEO Data Analysis in Python Polars using AI copilot
In this video, I go over a particular data analysis challenge I have: analyzing the performance of SEO Keywords from our website.
I go over the background of the challenge, where I download the raw data from as well as setting up Python environment and installing Polars. I, then, use Cursor AI's coding copilot to help me write a data-analysis script which I can the run regularly on data files downloaded from Google Search Console.
At the end, Sahand also talks about the pros and cons and "why" of this methodology.
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PS: Originally, I wanted this video to be less than 5 minutes long, however, after recording and editing, I realized that there's good content related to the background and downloading the file (rather than the actual data analysis) which added up to about 9 minutes. But I thought keeping the background information in the video made it more real and relatable. If you only want to see the section in which I use AI copilot to create my data-analysis code, please skip ahead in the video.