Ever wondered what Python chops you need before tackling machine learning? This video walks you through a full roadmap: start with core syntax, data types and flow control, then dive into pandas/numpy for data wrangling, brush up on interactive learning tools, and learn essential SWE practices (Git, testing, virtual environments). From there you can tackle optional math refreshers, build a solid ML foundation, explore deep learning basics, get hands-on with real-world projects and even catch a bonus crash course on LLMs—all designed to help you craft a killer portfolio.
Along the way you’ll find links to two beginner-friendly DataCamp tracks (plus an exclusive 25% off), and a peek at DevLaunch’s mentorship program if you crave live guidance, accountability and no-fluff strategies for actually landing that dream data gig.
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