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.
I want help coding or building software
For coding help, pick one AI surface, keep changes on one branch, list the folder, and re-run the failing command yourself. Agents multiply mistakes when nobody owns the…
Power BI starter: measures that match the question
Name Power BI measures after the question, write DAX that respects filter context, and test before the card goes live. Columns are raw material; measures are answers.
Peeking, guardrails, and stopping rules
Stop peeking at interim p-values as final decisions. Use fixed horizons or sequential plans, guardrail metrics, and a written stopping rule before launch.
Catalogs and where is the truth?
Build a one-page truth map and a minimum catalog card for each critical dataset. Certification is a promise with an owner, not a sticker on a dashboard.
Multimodal AI for charts and screenshots
Use multimodal AI on charts with visible-only asks and uncertainty labels. Verify dips and drivers in the source data before you paste the model’s story into Slack.
