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.
Which job skills still matter as AI gets better?
AI shifts tasks inside jobs; titles lag. Keep five skills: the question, the number check, the conversation, taste, and the stop. Models draft; you own the closed book.
Why you should not use Grok Imagine to make images of real people or brand logos
Do not generate photoreal people, fake logos, or copyrighted characters for work. Use consent, official marks, and a visual fails checklist before anything ships.
How to use Gemini in Gmail to draft, summarize, and adjust tone
Gmail plus Gemini works with a strict loop: summarize, draft with constraints, edit in your voice, verify, then send. Summaries can drop the sentence that mattered. Humans own…
The easiest way to try open AI models like Llama is a hosted chat website
If you want Llama, Qwen, or DeepSeek-class chat without a driver install, open a hosted UI such as Groq, Together, or Fireworks. Spend fifteen minutes on one named…
Will an AI model run on my laptop? Model size and quantization explained
Parameter counts are clothing sizes, quantization shrinks the file, and RAM decides whether the laptop can talk. A 70B Q4 on 16 GB is how you get a…




