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Data Alchemy

38k members • Free

285 contributions to Data Alchemy
SCAM ALERT:👉@Neal Michea👈SCAM ALERT👉 @Neal Michea👈 SCAM ALERT
SCAM ALERT: This person🔥👉 @Neal Michea 👈🔥 is a piece of shit scammer. SCAM ALERT: LOL I got all your screenshots and the proof you fucking piece of shit scammer. This person needs to be reported to Skool, not the admin here. Please look at the screenshot proof below: @Neal Michea 🖕 🖕@Neal Michea, His profile pic is stolen from Instagram. And subscribe to over 100 free Skool communities just to spam and scam. 🖕@Neal Michea He tries to get you to telegram, pretends to send $30k crypto, then says he received an email saying that you have to send him $200 to receive it. 🖕@Neal Michea He/she is very clever and has everything aligned as so-called proof if you're stupid. And he is over a hundred scammers in this community. But he is the most dangerous so far. You will see all the proof in the attachment. His fake profile image is of a real influencer from Instagram. This is he thread just spamming the same BS on all comments. He also goes to the most popular post like mine and then spams it. https://www.skool.com/@peace-peter-5024?g=data-alchemy @Neal Michea 🖕
 SCAM ALERT:👉@Neal Michea👈SCAM ALERT👉 @Neal Michea👈 SCAM ALERT
1 like • 4d
@Pierre-Henry Isidor So true. I wrote him a few weeks ago volunteering for admin and he gave me no answer. I also sent him a screenshot showing that from 28 post on the first page of the community, more than 20 were scams, clickbait or marketing. He remains silent. Plus the only admin that did something, Lucia, has disappeared. I am also thinking of deleting my account but the classroom content keeps me from doing it, despite I haven't been there for a long while. Don't know what to do. The thing is that he pays $99/month for that. I would take a lot of care for a community I pay this much, but he probably makes loads of money in other businesses so gives no shit for this. It's sad because it was a great community.
1 like • 3d
@Asieh Harati He has reasons to sound and be angry. We have seen that place fall from a thriving community to a decadent space full of scammers that roam free. He has fought vigorously against scammers and spammers, way better than admins have. My suggestions were simple. Some yes/no ideas that take five minutes to implement. If Dave didn't want mine he could've simply said "no, thank you" and I'd be okay with that. In the end it's his space and his business what is on stake. I appreciate you kindness and good thoughts, but we've got experience here and have our reasons for what we say.
“AI isn’t replacing data analysts — it’s turning everyone into one.”
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.
0 likes • 13d
I don't agree in the fact that AI is turning everyone into a data analyst and that phrase ("anyone who can ask the right question can extract insights that once needed a full data team") of yours proves my point. The relative clause after 'anyone' is important. People that know how to ask questions and what questions to ask are the ones that can pretend to be data analysts. If you have a bunch of data and don't know how to wrangle and arrange it, AI won't help. Or won't be as useful as it can be when you have the knowledge and skills of a true data analyst. A Colab Notebook and some help from Gemini may produce a cool output with lots of fancy graphics and such, but if you don't know what the figures are saying you're off and a couple of questions from a customer or your boss can reveal the trick. Whatever task you are in, if you don't know what you are doing but you use some shortcuts or cheats, the true will surface sooner than later. Be honest. Not knowing things is still acceptable in the AI era.
“Insight isn’t found — it’s designed.”
People talk about “finding insights” in their data as if it’s a treasure hunt. But real insight doesn’t just appear — it’s engineered. Every valuable data insight starts with a great question. - What are we really trying to understand? - What variable actually drives this outcome? - What pattern matters, and what’s noise? AI helps us see faster, but not think better — that’s still on us. The best data teams don’t wait for magic moments. They build systems that generate insight consistently. In the end, insight isn’t luck. It’s design, iteration, and interpretation — the real alchemy of intelligence.
0 likes • Nov 9
I like how your posts reflect some truths about data analysis that to me are obvious but for what you share it is not. This Summer I was trying to get insights from a wide table of data and despite I could do some great graphs and extract some conclusions, I was lost. And it wasn't until I asked myself what I was looking for that all started to make sense. It's true that I fed the raw data and the questions I was trying to answer to an AI chatbot and asked a few questions, but it didn't tell me what to do but how to look for meaningful ways of working with the data. If you don't know where are you going, any path is a desert crossing.
1 like • Nov 5
@Justin Lord Agreed. It's not that Hinton is a no-one in this industry so maybe, and just maybe, he knows what he's saying. But, as usual, we -as society- will pay attention to it when it's almost too late, when we start seeing the disastrous effects of some aspects of AI. It's happening with climate change, and it happened with other things. When consequences of AI reach the wallets of the people who have the big money, then all of a sudden there will be lots of mainstream alarms and crying of "If we had known before...". And what will we do? Memes. Memes of Spongebob showing signs of alarm everywhere. And blame some scapegoat.
“The next wave of AI winners won’t be users — they’ll be builders.”
We’ve officially crossed the point where “using AI” isn’t impressive anymore. Everyone can prompt. Everyone can automate. But very few can build systems around it. The difference? - Users consume AI. - Builders compound it. - Builders create leverage loops —tools that collect feedback, learn from users, and improve themselves. The people who build AI that builds for them will own the next decade. So stop being a prompt engineer. Start being a system thinker. AI isn’t the end — it’s the infrastructure.
0 likes • Nov 4
The next wave of AI winners will be companies who build them, as usual. Other builders may be runner-ups. That said, I'd like to comment a couple of things. - "Builders create leverage loops —tools that collect feedback, learn from users, and improve themselves." In a way I think that it already exists and are the algorythms from social media and applications. - "The people who build AI that builds for them will own the next decade". I'm not sure they will own so long given the speed at which AI evolves. Maybe they own a couple of years. But, I agree with the general idea of the post. Using AI has become common so you have to take one or two steps further to make a difference. How? Thinking in ways other people don't.
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Oriol Fort
6
982points to level up
@oriol-fort-2227
Former archaeologist turned into teacher. Learning about AI to be able to create programs that make a difference for students and researchers.

Active 3d ago
Joined Jan 20, 2024
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