beginner
4 stories filed under beginner on Beyond Market Intelligence. The newest of them: “Excel in English or German: choose now to grow with your data”, “Streamline your data by merging vertical cells without creating new ones”, and “Explore a free path from LLM basics to building production-ready applications”. Choosing your spreadsheet language as a beginner is a smart investment in your future workflow. Merging data from vertical cells into one cell, without creating a new one, is a common request that trips up many Excel beginners. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every beginner story on Beyond Market Intelligence, newest first.
Excel in English or German: choose now to grow with your data
Choosing your spreadsheet language as a beginner is a smart investment in your future workflow. Since you already know the basics in German and recognize the switch would be easy, English is the stronger path. Most professional environments, documentation, and advanced AI tools operate in English. You'll grow faster when your data speaks the same language as the resources you'll rely on. Start now, while the learning curve is still low.
Streamline your data by merging vertical cells without creating new ones
Merging data from vertical cells into one cell, without creating a new one, is a common request that trips up many Excel beginners. You are not missing something obvious; the tool simply handles this differently than most expect. The key is to use a formula, not a paste option, to combine text. We have covered similar data hurdles before, like in our piece on "Monitor Cypress Tests with Grafana," where persistent observability solves a different kind of data puzzle.
Explore a free path from LLM basics to building production-ready applications
The path from backpropagation basics to production-grade LLM applications doesn't have to be cluttered with endless tabs and half-finished tutorials. These five free courses form a deliberate, linear pipeline that respects your time and builds real competence. It's a focused route, not a buffet. If you're also curious about the infrastructure behind scaling these models, our guide on distributed algorithms pairs well with this track. Start here, move deliberately, and let the work itself teach you.
From AI fundamentals to LLMs: a free five-course roadmap
A five-course roadmap won't just hand you theory; it walks you from classical algorithms to training LLMs from scratch. That's the kind of practical progression that turns curiosity into real capability. If you've been hesitant about where to start, this is your entry point. And once you grasp the mechanics, you might find our piece on questioning AI clones a useful counterweight to the technical rush. Explore the courses, build the skills, and let the work speak for itself.