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 AI on my files and office work
Put AI on files and office work with a work account, a safe first task, and a human Send. Summaries help; unsupervised approvals do not.
Gemini app and web: first 30 minutes
Spend thirty minutes in Gemini app or web on one surface. Use constrained prompts, try one file or image if allowed, and leave with one reusable pattern.
Inclusive metrics and whose story is missing
A metric can look clean and still leave people out. Ask who is in, who is out, and what action follows before a KPI becomes policy. Inclusive metrics…
Handling a data incident
A wrong dashboard number is a data incident, not a spreadsheet oops. Learn the first 24 hours: contain, triage severity, run a check board, log facts, and communicate…
Prompt injection for data people
Prompt injection is not only a chatbot prank. For data teams it rides in tickets, docs, CSV cells, and tool outputs. Treat retrieved text as untrusted, constrain tools,…
