Category: Tutorials
You are in the right place if you want a lesson you can follow, not a glossary and not a product homepage. This shelf holds most of the articles on Analytics Made Simple. Two paths sit inside it on purpose. SQL is the database path: you have rows, and you need to ask a question without exporting another spreadsheet. AI is the tool path: chat products, open-weight models, and the jobs those tools are actually good at. Other tutorials land here when they teach a skill that does not belong on a narrower shelf.
A category page is the pile. A series page is the path, with a place to start and an order. If you open a tag or page 2 of this list, you are in a filing cabinet. The lesson is the article, or the series hub that lines the articles up.
Where to start: if the pain is a table, open the SQL series and use the first part on that page. If the pain is a model name or a chat tool, open the AI category and pick the product you already have on screen. If you are not sure which job you have, open Learn and choose the track that matches the work, not the logo.
When geospatial analysis helps
Geospatial analysis helps when location changes the decision, not when a map would merely look executive. Learn good-fit use cases, weak-fit traps, and a project card before you…
ARR and MRR vocabulary for non-finance
ARR and MRR sound simple until three teams report three different growth numbers. Learn the non-finance vocabulary, what each metric includes, and how to ask definition questions without…
Funnel stages that match the product
Generic marketing funnels hide the step that actually matters in your product. Part 1 of Customer analytics basics maps Visit to Pay stages to real events so activation…
Experiment design beyond the p-value
p < 0.05 is not a product strategy. Experiment design beyond the p-value covers hypotheses, ethics, rollouts, and decisions that survive contact with real teams. Part 1 of…
Sampling and bias for analysts
Your sample is not “the data.” It is a story about who showed up, who got filtered out, and what bias you baked into the chart. Part 1…




