My top 5 course recommendations for aspiring data scientists

Top DataCamp picks for hands-on data science courses: DataCamp Associate Data Scientist track: https://datacamp.pxf.io/jRObyP DataCamp Machine Learning Scientist track: https://datacamp.pxf.io/k4o6ML After 7 years as a data scientist 📊, if I could choose resources to start, this is exactly how I'd prioritize learning. Not a random list of resources, it's a 3-phase framework: build your intuition 🧠, learn and practice hands-on 💻, then prep for the job 🎯. I break down the 5 specific resources I'd actually use, why intuition matters more than syntax, and the order that actually makes you employable. If you're stuck in tutorial hell or trying to figure out where to start, here's a super easy roadmap to give you resources upfront!! ✨ ⏱️ Timestamps 00:00 Intro 00:37 Phase 1 — Build your intuition 03:46 Phase 2 — Learn & practice (DataCamp) 06:23 Phase 3 — Get the job 08:14 The learning order that matters 🔗 Links & Resources Understanding Deep Learning (free online): https://udlbook.github.io/udlbook/ An Introduction to Statistical Learning with Applications in Python: https://amzn.to/3QHMRyG MIT OpenCourseWare: https://ocw.mit.edu/ Data Lemur (free SQL practice): https://datalemur.com/ Ace the Data Science Interview: https://amzn.to/4n4Qef5 DataCamp Associate Data Scientist track: https://datacamp.pxf.io/jRObyP DataCamp Machine Learning Scientist track: https://datacamp.pxf.io/k4o6ML 🧠 Keywords: data science resources 2026, how to learn data science, data science roadmap, best data science books, ISLR, data science interview prep, SQL practice for data science, DataCamp review, data science career advice, machine learning resources, senior data scientist tips 👉 Subscribe if you want honest, experience-based takes on what it actually takes to thrive as a data scientist. Drop a comment with the resources that helped you most — always looking for new recommendations myself. ------------------------------------------------------------------------------------------------------------------------------------------- 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   Thumbnail: