Andreas Kretz’s Post

📢 NEW Substack is online! I was guest in Jon Krohn’s Super Data Science podcast. In my latest Substack post I share some insightful Q&As from our exciting interview on how to learn Data Engineering! Check out the complete blog post here 👉 https://bit.ly/4ahA62V #dataengineer #dataengineering #datascience #bigdata #learndataengineering

The Data Science Roundtable Podcast is doing amazing! What should the next roundtable be about? 1. Data Engineers Roundtable 2. Data Science Managers Roundtable 3. AI Engineers Roundtable 4. International Student & Job Search Roundtable Vote for your preference (just the number) in the comments, and I'll make sure to bring it to you. Or do you have a new idea? Let me know! If you haven't watched the Data Science Roundtable yet, check it out here— https://lnkd.in/eTPuqcRu It's a 1.5-hour, value-packed podcast. Don’t forget to grab some coffee before watching!

Have you been wondering why you don't often hear "ETL" anymore? Maybe you're wondering what "ETL" even stands for. In this week's podcast, Brick and Caleb explain ETL, ELT, and data pipelines (among other things) to round out their three-part series on data terminology. Be sure to listen to this week's episode and catch up on any you've missed on our YouTube channel. Watch the full episode here: https://lnkd.in/ez58VZhP #dataanalytics #datamanagement #learnwithus

Unlock Your Data Science Potential with Exciting Learning Options! (with Dr. Ali Mehmood) 📊 Dive into the world of data science! 🚀 Unlock your potential with exciting learning options. Ready to embark on a data-driven journey? Watch now! #DataScience #LearningOptions #TechSkills #DataAnalytics #UnlockPotential 📈✨ Watch complete Podcast: https://lnkd.in/eyNweF73

🎃 New podcast alert: Data Science Rabbit goes full moon. (Warning: May cause uncontrollable urges to howl at datasets.) Brace yourselves, data nerds. The Data Science Rabbit Podcast just dropped a Halloween special that's more terrifying than your last failed model deployment. 🐺 Episode 1: "When AI Met Werewolf" https://lnkd.in/ex4Hbq4p More scary episodes to come in the next few weeks. Don't say I didn't warn you. Available now on Spotify and all major podcast platforms. Listen at your own risk – side effects may include increased hair growth and an inexplicable desire to chase squirrels while coding. PS: If you turn into a werewolf after listening, please rate us 5 stars. It's the least you could do before devouring the interns. #DataScience #AIWerewolves #PodcastsFromHell

🎙️ New Episode: Klaviyo's Data Science Podcast🎙️ https://lnkd.in/gE5UqxeY Wish you could give your younger self some advise? 4 senior members of our data science team sit down to reflect on what they know now and what they wish they'd know earlier in their career: 🎙️ How taking a more scenic or indirect career route can impart valuable experiences 🎙️ The growth and development opportunities that truly unlocked new phases of their careers, and how you can make the most of similar opportunities 🎙️ Why mistakes often make the best learning opportunities

Our latest #BITTechTalk podcast episode features an inspiring conversation with Vera Dureke, BIT Chicago President, mathematician, and data scientist. Vera dives into her journey in the tech industry, her role in BIT Chicago, and the evolving field of data science. This episode is a must-listen for anyone interested in tech and data science. 🔗 bit.ly/BITTP-Vera #BlacksInTech #TechPodcast #DataScience #WomenInTech bit.ly/BITTP-Vera

A 2-minute clip from my recent podcast with Matt Brady, where we explore the rise of the "Analytics Engineer" role using Google Trends. 📈

The rise of Analytics Engineering, let's start by looking at the Data... Here is a snippet of our podcast with Elvira 📈

Really looking forward to appearing on the DataTalksClub podcast with Alexey Grigorev. This Tuesday, July 9th, 12:30 CET. We'll talk about... ✅ How I got into the field of data science and MLOps. ✅ Why my career evolved from data science, to MLOps, to building teams. ✅ A few key components for building successful teams in tech (or anything). ✅ A few key components of building successful MLOps pipelines. ❗❗❗ Podcast is postponed. We had to move it to next Wednesday, July 17th. Exact time to follow. Links can be found ⬇ #datascience #machinelearning #mlops