The Data Guy

Stanford just Open-sourced Their Cources! CME 295: Transformers & Large Language Models It's now available on YouTube 🚀 Lecture 1 Lecture 2 Lecture 3 TBD Behind all the prestigious Colleges Cources are just Inspiring Professor's! They are really chill too 😅

Next week, we will discuss more on what's happening on the Ai world, and see through the Hype of things. Planning to have a some series called #ThroughTheHype Its Like Hype Buster Kinda thing. We will dig deep on whats going behind the curtains and see the real value! We will start from the Basics and start from there! Let me know what Hype you want to be clarified! @datawithsimon

Hey Guys, Hope everyone is doing great. I am sorry we didn't start our session this week, I am not sure if y'all got it. But there is a flu running around 🤧 Was resting this week. We will be starting sessions next week. @datawithsimon

Hey y’all, it’s been a minute! 👋 I’ve been working hard these past few weeks, collecting and refining resources to build something I’ve always wished existed: a clear, practical, and personalized roadmap for data professionals. That is tailored to make us go from scratch to professional, and we will keep on advancing on it. Here’s the truth: Most “data Cources" out there stop at the basics. They help you get started, but not grow. That’s about to change. This community is where we’ll learn together. I won’t just lecture. We’ve got incredibly smart and experienced people here, and we’ll be inviting some of them to share their insights too. Starting next week, we’ll begin walking through these resources step by step, in a way that’s easy to follow and apply, without drowning in the details. If you’re a senior or seasoned data professional, I’d love for you to hang tight for a bit and jump in with your thoughts and advice as we go. Your perspective will help everyone here level up faster. Each day, we’ll break down one resource, learn from it, and discuss how to actually use it. If you know someone who’s been struggling to find direction in their data career, invite them in. Let’s build something meaningful together. 🔥 The journey starts next week. Let’s get to it. @datawithsimon

Another ML winter school at MBZUAI. Make sure to apply if you are interested. Not affiliated with it so i don't know much if you got any questions. https://mlws.mbzuai.ac.ae/

I have been Organizing and coordinating events for the past 5 years, and here are a few points that will help you out if you are going to an event. - Every Event has a target of people they are trying to reach out, make sure you are one them (I.e don't go to a sales and Marketing event if you don't have any clue on any of them) - Ask this question, what am I getting from this events, usually its one of these: - For Networking - Discovering new things - to meet a potential Investor - to Discover and learn more about a certain industry - or maybe just for the food 😏 At last make sure you are getting out of it 💯 I see people coming to events year by year and they haven't changed a bit... I mean what's the problem?! I see a lot of people joining Hackathons and building the same kinda thing... its not even Improved... come on🫤🫣🤔 I Don't think people are leveraging these things enough... Make sure to get something out of it 🤔

Anyone coming to Enkopa summit, Let meetup there. Check the Guest's in here https://enkopasummit.com/agenda

About That Job I told you guys, Shega Media has Data engineer Position Opening, and they want someone to join ASAP. Here is the JP You can send me Your CV directly in here @zdataguy

800+ in our first 24 hours, Thank you! 🎉 To everyone who joined The data guy: you made day one feel like a month of momentum. Data pros, AI/ML folks, researchers, founders, the data-curious—you’re all here, and I’m grateful. 🙏 I am seeing people from different expertise in data and its great to have you here 🦾 This is your place to ask question be curious and connect with others as well. Don't forget to join the discussion chat: @datawithsimon_chat

Hey, i’m Simon 👋 people kept saying “ask the data guy”—so here i am. I’ve worked across the stack: Data scientist → Data engineer → Data analyst/Business analyst. translation: Trying to make sense of that crazy data you always avoid Why this channel i couldn’t find many channels for our kinda people—practical, curious, no ego. so… here goes the channel. a place to learn, swap notes, and grow together. the only one i know is @neural_netss 🔥 What this is a community for ai, data, and research enthusiasts. a chill corner for anyone who wants to learn. we’ll focus on learning. small, clear lessons. shared notes. tiny projects we can finish. readable code. quick feedback. progress over polish. What we’ll do - quick explainers (plain english, real examples) - build-in-public: notebooks, dashboards, pipelines - tool showdowns (pros/cons, not hype) - lightning q&as + office hours - quiet drops: roles, collabs, founder-friendly pilots Who can join anybody who is interested in data+ai , data folks (all levels), ai/ml engineers, researchers, product/ops, students, and the data-curious. ai founders + big-company leaders, pull up a chair to meet talent, swap notes, and spot opportunities early. Low-key benefits faster answers, vetted resources, honest feedback, early looks at gigs/collabs—and smart people who actually reply. House vibe curious > perfect • share what you know • no spam • respect each other and their craft Drop a 👋 with where you’re based + what you’re building/learning next. lurkers welcome—jump in when you’re ready. Let’s make sense of this data 🚀 @datawithsimon