Claude Code for Data Scientists in 9 minutes

Claude Code has mass replaced maybe 75% of the way I do my job - and I genuinely feel like most data scientists don't understand how impactful this tool is yet. After 7 years in data science (Uber → Stripe), I'm breaking down what Claude Code actually is, why it's not just another chatbot, and how it's changed everything from my EDA workflows to ML modeling to documentation. This isn't a tutorial. This is an honest explanation from someone who uses it every single day for real work! If you've been hearing about Claude Code but haven't really understood what the hype is about, this is your starting point. ⏱️ Timestamps 00:00 hi 00:25 What is claude code? 01:10 4 ways I use it at work and why it's useful 06:19 personal optimization 07:29 top 3 tips to get you started 🔗 Links & Resources Claude Code docs: https://docs.anthropic.com/en/docs/cl... "File Systems Having a Moment" article 📺 More Claude Code content coming: → How I Use Claude Code as a Data Scientist [link when live] → My Entire Claude Code Skills Setup [link when live] 🧠 Keywords: claude code tutorial, claude code for data scientists, claude code explained, AI coding tools 2026, data science workflow, claude code setup, AI for data science, claude md file, claude code skills, LLMs for data science 👉 Subscribe if you want honest, experience-based takes on what it actually takes to thrive as a data scientist. Drop a comment if you've been using Claude Code — I'd love to hear what you're building with it. ------------------------------------------------------------------------------------------------------------------------------------------- Welcome to The Almost Astrophysicist — I’m Priya, a data scientist sharing real, unfiltered stories about navigating tech 💻, burnout 🧠, career growth 📈, and (mostly) just learning out loud. From physics undergrad to startups, Uber, and Stripe, I’ve picked up a lot (and maybe made a lot of mistakes too 😅). This channel is where I break down what it’s actually like to work in tech, reflect on the messy parts of ambition, and talk through both the qualitative and quantitative sides of building a meaningful career. Expect technical data science content, chat about what it's like working at high-growth companies, dealing with imposter syndrome, and figuring out what “success” even means. Subscribe if you’re into data science that feels a little more human 🤍 — and comment anytime, I’d love to hear your story too!! LinkedIn:   / priya-l-520311145