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Pinned
Jul '23 •
Welcome to Data Alchemy - Start Here
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!
Pinned
Nov '23 •
Unlock New Courses at Level 3
Hey everyone, I just completed a new course for you: "Data Science Accelerator". This course will be unlocked, together with "Building Applications with LLMs" at level 3. How to level up? Just interact with the group, get likes and comments, and watch your level go up!
25m •
The missing layer in most data stacks: decision memory
Most data stacks are excellent at answering: “What happened?” Very few are good at remembering: “Why did we decide this?” That’s a massive blind spot. Every meaningful decision creates context: • assumptions • confidence level • alternatives considered• time pressure And then… it disappears. High-maturity data systems include decision memory. Here’s what that looks like: 1️⃣ Decision Logging Not just outcomes, but: • what signals triggered action • what thresholds were crossed • who (or what) made the call 2️⃣ Assumption Tracking Every decision is tied to assumptions. When assumptions change, the system flags it. 3️⃣ Outcome Attribution Did the decision Help ?Hurt? Have no effect? Most teams track results but not causality. 4️⃣ Feedback into Models Signals that consistently mislead get down-weighted. Reliable ones gain influence. This turns hindsight into learning. 5️⃣ Retrieval at Decision Time When a similar situation appears, the system surfaces: • past decisions • outcomes • lessons This is institutional memory — automated. Data alchemy isn’t about storing facts. It’s about remembering judgment. The future belongs to systems that don’t just analyze the past, but learn from their own decisions.
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7d •
One thing most teams misunderstand about “data-driven”
Being data-driven isn’t about reacting to numbers. It’s about deciding in advance: • which signals matter • which decisions they inform • and which ones you’ll ignore Most dashboards fail because they show everything. The strongest teams I’ve worked with do the opposite: They reduce data until only decision-critical signals remain. AI makes it easier to compute. It doesn’t make it easier to choose. That part is still human. Good data systems don’t answer more questions. They answer the right ones, consistently. Something I’ve been thinking about recently.
4d •
You’re closer to this payout than you think… if you stop doing these mistakes.”
Most creators quit before results like this ever show up. What they don’t realize is that YouTube pays you for consistency, data awareness, and strategy — not luck. This type of payout comes from: • Understanding what your audience actually watches • Staying patient when views move slow • Fixing your thumbnails & retention week by week • Posting with intention, not guessing If you’re still struggling, you’re not failing — you’re missing the system. Comment SYSTEM and I’ll show you the blueprint.
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