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.
Loops and agentic runs: multi-step work
Part 8 of Claude Code tutorial. Run multi-step agentic work with a goal-plan-act-observe loop, checkpoints, and clear autonomy: watch, steer, or walk away only when rails are real.
When Work beats Chat (and when it does not)
Part 4 closes the ChatGPT Work tutorial. Use a decision table for when Work beats Chat, when Chat is enough, and which wrong doors to avoid. Then continue…
Profile before you polish
Cleaning before you look is how silent bias sneaks into dashboards. Learn a lightweight profile of counts, nulls, ranges, and weird categories with SQL and Python so every…
Plugins, connectors, and tools
Part 7 of Claude Code tutorial. Map built-in tools, MCP connectors, and plugins that bundle skills, subagents, hooks, and settings. Climb the ladder from a plain task to…
Multi-step jobs and checking results
Part 3 of the ChatGPT Work tutorial. Run multi-step jobs as a goal-plan-act-checkpoint loop: review the plan, steer mid-run, check usage, and finish with a result checklist that…




