Dataford

Every Data Analyst interview has a SQL round. Every Data Scientist interview has a SQL round. Every Data Engineer interview has a SQL round. SQL is the one language that you need to know. So if you’re serious about breaking into data  SQL is non-negotiable. (𝘌𝘷𝘦𝘯 𝘸𝘪𝘵𝘩 𝘵𝘩𝘦 𝘳𝘪𝘴𝘦 𝘰𝘧 𝘈𝘐) Many will struggle to validate AI outputs. That's why knowing SQL is a must. I recommend practicing on Dataford, my favorite resource for upskilling in SQL and preparing for your next Data interview. Here are their most valuable features:  📕 Modules: https://lnkd.in/gz9Cr8R3 📗 Interview Guides: https://lnkd.in/gXhBTqXs 📘 Interview Questions: https://lnkd.in/g62bfHF6 ——— ♻️ Repost this if you find it insightful! 👋 Follow Amney for more Daily Tips

𝗔𝗜 𝗪𝗢𝗨𝗟𝗗 𝗡𝗢𝗧 𝗘𝗫𝗜𝗦𝗧 𝗪𝗜𝗧𝗛𝗢𝗨𝗧 𝗨𝗦! 𝘛𝘩𝘪𝘴 𝘪𝘴 𝘮𝘺 𝘳𝘢𝘯𝘵 𝘱𝘰𝘴𝘵 𝘢𝘣𝘰𝘶𝘵 𝘉𝘭𝘰𝘤𝘬 𝘭𝘢𝘺𝘰𝘧𝘧𝘴 AI was trained on Human writing. Human code. Human decisions. Human everything. Everything it does started with 𝘂𝘀. That’s why this moment feels very unfair. Companies are using AI to become faster, leaner, and more efficient. But the same humans who helped create that value are often the first ones to be cut. Block just laid off 40% of its workforce. And I don’t think it stops here. I’m afraid this is only the beginning of a much bigger wave of layoffs if there are no real guardrails in place. At some point, governments will need to step in. Because if profit is the only thing guiding these decisions, a lot of people are going to get left behind. And that should worry all of us. If you were impacted by the Block (Square) layoffs, please reach out. I’ll do my best to help however I can, whether that’s advice, support, or referrals. 𝗪𝗲’𝗿𝗲 𝗮𝗹𝗹 𝗶𝗻 𝘁𝗵𝗶𝘀 𝘁𝗼𝗴𝗲𝘁𝗵𝗲𝗿. ♻️ Repost to your network to spread the word

𝗔𝗜 𝗪𝗢𝗨𝗟𝗗 𝗡𝗢𝗧 𝗘𝗫𝗜𝗦𝗧 𝗪𝗜𝗧𝗛𝗢𝗨𝗧 𝗨𝗦! 𝘛𝘩𝘪𝘴 𝘪𝘴 𝘮𝘺 𝘳𝘢𝘯𝘵 𝘱𝘰𝘴𝘵 𝘢𝘣𝘰𝘶𝘵 𝘉𝘭𝘰𝘤𝘬 𝘭𝘢𝘺𝘰𝘧𝘧𝘴 AI was trained on Human writing. Human code. Human decisions. Human everything. Everything it does started with 𝘂𝘀. That’s why this moment feels very unfair. Companies are using AI to become faster, leaner, and more efficient. But the same humans who helped create that value are often the first ones to be cut. Block just laid off 40% of its workforce. And I don’t think it stops here. I’m afraid this is only the beginning of a much bigger wave of layoffs if there are no real guardrails in place. At some point, governments will need to step in. Because if profit is the only thing guiding these decisions, a lot of people are going to get left behind. And that should worry all of us. If you were impacted by the Block (Square) layoffs, please reach out. I’ll do my best to help however I can, whether that’s advice, support, or referrals. 𝗪𝗲’𝗿𝗲 𝗮𝗹𝗹 𝗶𝗻 𝘁𝗵𝗶𝘀 𝘁𝗼𝗴𝗲𝘁𝗵𝗲𝗿. ♻️ Repost to your network to spread the word

If you’re serious about landing a Data role in 2026 You should register to these 5 FREE events ASAP: 𝗛𝗼𝘄 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝘆𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗮𝘁 𝗕𝗶𝗴 𝗧𝗲𝗰𝗵 by Lead Data Scientist @Meta to full deep-dive into interview tips and real case interviews. ↳ https://luma.com/vsndcrlk 𝗔𝗰𝗲 𝘆𝗼𝘂𝗿 𝗦𝗤𝗟 & 𝗣𝘆𝘁𝗵𝗼𝗻 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 by ex-Analytics Manager at Groupon to sharpen your technical skills in SQL and Python ↳ https://luma.com/l31z3wnj 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝗳𝗿𝗼𝗺 𝟬 𝘁𝗼 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗥𝗲𝗮𝗱𝘆 by Data Analytics Team Lead at LTM to go through a step-by-step path to get interview-ready. ↳ https://luma.com/og9psejr 𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗶𝗻𝗴 𝗔𝗜 𝗮𝘀 𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗶𝗻 𝟮𝟬𝟮𝟲 by AI engineer at IBM on how to use AI tools to level-up your workflow in Data. ↳ https://luma.com/ut3omzd5 𝗛𝗼𝘄 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗦𝗼𝗹𝘃𝗶𝗻𝗴 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀 by Data Engineer at Nestle and Ex-Amazon, to go through frameworks & thinking that hiring managers look for during interviews. ↳ https://luma.com/dmf92ua1 These are all FREE to learn a bunch from these amazing Data Experts. I wish I had that when I was applying for jobs. ——— ♻️ Repost this to your network so they know about it  💬 Let me know which workshop are you joining

The future of Data Analysts is Human-AI Hybrid. And it’s happening faster than people think. I used to spend 70% of my time: → Writing SQL → Updating dashboards → Writing documentations → Fixing broken pipeline/queries I am not doing that anymore. That’s why I've been using Count.co Their AI agent: → Makes comprehensive dashboards → Writes transparent SQL (you see everything) → Lets humans + multiple agents work together → Keeps governance and trust That’s the future. Not AI replacing analysts. AI augmenting them. You can test Count.co for FREE  ↳ https://lnkd.in/gHjButQH ——— ♻️ Repost this if you found it useful! 👋 Follow Amney for Daily Tips & Resources

If you’ve ever felt stuck in case-style interviews, this session will help you approach them with clarity instead of panic. Join us on the 28th https://lnkd.in/gmsnzhZT

This isn’t about replacing your skills. It’s about amplifying them. Join us on the 21st https://lnkd.in/gmsnzhZT

Most people know 𝗼𝗻𝗲 𝘄𝗮𝘆 to remove duplicates in SQL. During interviews, they’ll usually ask for more than one approach. Here are 4 ways to do it: 1) Using HAVING 2) Using Ranking Functions 3) Using SELF JOIN (𝘭𝘦𝘢𝘴𝘵 𝘦𝘧𝘧𝘪𝘤𝘪𝘦𝘯𝘵) 4) Using DELETE (𝘺𝘰𝘶 𝘯𝘦𝘦𝘥 𝘵𝘰 𝘣𝘦 100% 𝘴𝘶𝘳𝘦) If you wanna take it to the next level, I highly recommend going to this free workshop hosted by Mark, Lead Data Scientist at Meta, on how to master your Data Scientist Interview at Big tech. 📕 FREE Workshop: https://luma.com/vsndcrlk ——— ♻️ Repost this if you found it useful! 👋 Follow Amney for more Daily Tips

The best Analysts I know don’t ONLY use internal data. (𝘚𝘢𝘷𝘦 𝘵𝘩𝘪𝘴, 𝘪𝘵 𝘤𝘰𝘶𝘭𝘥 𝘣𝘦 𝘢 𝘨𝘢𝘮𝘦 𝘤𝘩𝘢𝘯𝘨𝘦𝘳 𝘧𝘰𝘳 𝘺𝘰𝘶) Back in 2018, I was working at a startup. We had a bunch of internal data to track our users. But there was one problem. A competitor was outperforming us. 𝗔𝗻𝗱 𝘄𝗲 𝗵𝗮𝗱 𝘇𝗲𝗿𝗼 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗶𝗻𝘁𝗼 𝘄𝗵𝘆. They were doing so well. I wanted to know: → What products were their best sellers? → Which categories were exploding? → Which brands were trending? So I started scraping it manually. And it was a mess. ❌ IP/CAPTCHA blocks ❌ Pipeline issues when site was changing ❌ Dashboard breaking because scraping failed I wish I had known about 𝗢𝘅𝘆𝗹𝗮𝗯𝘀 back then. Their Web Scraper API does the heavy lifting for you: → You send the URL → You define location / device if needed → They handle IP rotation + anti-bot systems → You get structured, ready-to-analyze data back If you’re at an Analyst in a startup (or building your own projects), external data will get you leverage and make you stand out. 𝗜 𝗴𝗲𝗻𝘂𝗶𝗻𝗲𝗹𝘆 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱 𝗴𝗶𝘃𝗶𝗻𝗴 𝗢𝘅𝘆𝗹𝗮𝗯𝘀 𝗮 𝘁𝗿𝘆. Because the hours you save on scraping are hours you can spend generating insights. 𝗬𝗼𝘂 𝗰𝗮𝗻 𝘁𝗿𝘆 𝗶𝘁 𝗳𝗼𝗿 𝗳𝗿𝗲𝗲 𝗮𝗻𝗱 𝘀𝗰𝗿𝗮𝗽𝗲 𝘂𝗽 𝘁𝗼 𝟮,𝟬𝟬𝟬 𝗿𝗲𝘀𝘂𝗹𝘁𝘀  ↳ https://lnkd.in/gDPiPheu ——— ♻️ Repost this if you found it useful! 👋 Follow Amney for Data tips and resources