Before you dive into ML, nail down the essentials: core Python syntax, data handling with pandas/numpy, interactive notebooks and learning tools, plus software engineering basics like version control. A quick math refresher can help, but the real journey starts with machine learning foundations, then on to deep learning, real-world ML pipelines and even a bonus look at large language models.
Along the way, you’ll find two Datacamp tracks (Data Fundamentals and ML Scientist) with 25% off, plus an optional DevLaunch mentorship to turn tutorials into real projects and land a job. The time-stamped roadmap walks you from Python basics through portfolio-worthy ML projects.
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