I'm building an app that brings in data from multiple API's (Stripe, Google Analytics, Github). I'd want to be able to analyze the different sets of data against each other if at all possible and draw meaningful conclusions based on correlations.
For example, I'd like to analyze monthly pageviews of against revenue for those months and to find how strongly said page relates to my revenue. I want to train a model to detect based on previous data when there are significant fluctuations in that data. Such that if suddenly my website dipped 40% in revenue, I can analyze all my analytics and revenue data to find the strongest correlation.
What kind of math should I be looking into? The last I studied math was in high school many years ago. I'm not sure what I should even look for.