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.
How to clean data in Google Sheets before you analyze it
A practical Sheets cleaning pass: trim, dates, splits, nulls, and deduping only after grain is clear. Keep raw copies; log your steps.
How to use Claude for writing, summaries, studying, and planning
Claude is strong at four everyday jobs: writing, summarizing, studying, and planning. Part 5 of Learn Claude from scratch shows a simple prompt pattern and worked examples you…
What Grok is good at, where it falls short, and why it acts the way it does
Understand the true capabilities and limitations of Grok. We break down the differences between Fun Mode and Regular Mode, explore how it ingests live X data, and map…
How to use the ChatGPT desktop app for chat, office work, and coding
Part 4 of Learn ChatGPT from scratch. How the desktop app puts Chat, Work, and Codex in one place, what Free still limits, and how to pick a…
Keys, IDs, and joining in plain English
Why customer_id beats matching on names. Primary keys, foreign keys, one-to-many joins, and sheet habits that keep IDs stable.




