Build & Learn: Data Science with Coffee [Cohort 6 Image Processing]
Details
📅 Week 2 Focus: Image Processing Recap & Intro to Deep Learning
Each 7-week cycle focuses on a small, well-defined part of a larger system—and over time, these cycles build toward a complete, real-world project (covering data engineering, data science, and deployment).
Feel free to join at any week and we will catch you up. There is no need to be at the beginning of the cohort to build. Complete beginners welcomed!
🧠 Current Project
This cycle’s shared project is an image-based knowledge extraction system
Last week, we kicked off our shared project by getting our hands dirty with OpenCV and exploring traditional image processing techniques.
In Week 2, we’ll:
- Recap what we explored last week and share cool experiments
- Look under the hood of the OpenCV techniques we used
- Start exploring deep learning–based approaches for text and object detection
📌 By the End of a Full Cycle, You should Have
🎯 A working project in your own GitHub repo
🎯 A small but real portfolio piece you can demo or write about
📅 When: Saturday, Jan 31 · 9:30–11:30
📍 Where: Torstraße 59, Forward Earth
💻 Bring: Your laptop, an idea—or just curiosity
👋 Who Is This For?
🔹 Beginners who learn best by doing — no prior experience needed
🔹 Career switchers from product, engineering, design, marketing, or other fields who want to break into data
🔹 Analysts, engineers, and PMs looking to sharpen their skills or build real-world projects
🔹 Data professionals who want a creative playground outside of work
🔹 Anyone with big questions and a love for learning through experimentation
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BUILD. LEARN. EXPERIMENT. OVER COFFEE.
Come hang out, meet like-minded people, and work on something fun.
📍 Based in Berlin – in-person meetups only (for now!)
💻 Laptops + ☕ highly encouraged
Join our Discord → https://discord.gg/dPnmzcCP8w
Check out our program resources: Google Drive
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✨ Who’s Hosting?
I’m Lindsey, a senior data scientist working on AI, causal inference, and data products. I’ve built models for fraud detection, uplift modeling, and LLM-based systems. I am always open to suggestion for different format for this meetup.