Everyone’s obsessed with making AI predict outcomes — revenue, churn, demand, sentiment. But the true leap forward isn’t in prediction…it’s in perception. AI is learning to see reality as it shifts. It notices when your customers’ tone changes, when your product’s positioning starts slipping, when data stops behaving normally. That’s not forecasting —that’s awareness. The next generation of systems won’t just answer questions —they’ll sense when the right question needs asking. That’s the moment when AI becomes more than analytics becomes adaptive intuition. And the data leaders who design for perception — not just prediction —will build the most resilient companies of the decade.

The goal of this group is to help you navigate the complex and rapidly evolving world of data science and artificial intelligence. This is your hub to stay up-to-date on the latest trends, learn specialized skills to turn raw data into valuable insights, connect with a community of like-minded individuals, and ultimately, become a Data Alchemist. Together, let's decode the language of data and shape a future where knowledge and community illuminate our way. Rules - Don't sell anything here or use Data Alchemy as any kind of funnel - We delete low effort community posts, and posts with poor English. Proofread your post first. - Help us make the posts high quality. If you see a low quality post, then click on the 3 dots on the post and "Report To Admins". Start by checking out these links - Classroom - Introduction - Roadmap - Contribution Be Aware of Scammers - Please be aware that this is a public group. Unfortunately, some people abuse the Skool platform to send DMs or post comments to trick people. This is the internet, so always do your own due diligence. Never automatically trust someone here on the Skool platform other than @Dave Ebbelaar's official account. To kick things off, please comment below, introducing yourself. Let us know: 1. Your name and where you're from 2. What project(s) you're currently focused on See you in the comments!

A few years ago, “data literacy” meant knowing SQL, dashboards, and how to read a report. Today, AI changed that completely. Now, anyone who can ask the right question can extract insights that once needed a full data team. But here’s the paradox — AI gives everyone access to insights, which means data itself is no longer the advantage. The advantage is now in how you interpret and apply what AI gives you. The winners won’t be those with the biggest datasets — but those with the sharpest sense of what to ask, test, and act on. AI democratized data. But human intuition still decides what matters. The new data alchemist is part analyst, part strategist, part storyteller.

just a few weeks ago, this project was nothing more than an idea.Today, it has become my first true professional experience in automation, deployed for a real estate client.And honestly, what a journey. 🎯 The challenge: fully automate Facebook publishing from Google Sheets The goal seemed simple at first: 🟦 The client fills a Google Sheet 🟦 Texts + images are retrieved 🟦 Posts are automatically published on Facebook But behind this simplicity lies real engineering work:Facebook API, image processing, error handling, trigger logic, testing, optimization a genuine first professional project. 🔧 From draft to production 100% functional today I built everything locally, on a modest machine, dealing with real-world constraints: ⚡ Power outages 📶 Unstable internet 💻 Limited resources A reality that no tutorial really shows, especially in Africa, but it’s no excuse not to deliver an effective, robust, and adaptable solution in any environment. Despite all that, the workflow now works from A to Z at the client’s site: ✔️ Google Sheets → n8n ✔️ Automated posting validated ✔️ Active monitoring by me The client immediately saw the value.The result? They already asked me to take it further:"I want a cloud version now more stable and accessible anywhere." A true sign of trust. 💡 What this first assignment taught me In just a few days (less than 7), I learned to: - Manage a full project from start to finish - Deliver a professional solution that actually works - Explain technical concepts simply - Build a reliable workflow despite constraints - Maintain a production system for a real client This first experience confirmed one thing:Automation is not just a technical skill it’s mostly human understanding, adaptability, and rigor. 🖥️ And then there was TeamViewer A little personal touch:I remember my high school years everyone talked about TeamViewer, but I had never really used it.It was just “a software I knew by name.” Fast forward several years, and this same tool allowed me to: