Data analyst to ML engineer: what should I learn first?

Question

I use SQL, pandas and Power BI daily. I want to move into ML engineering within a year. What's the most useful order to learn things?

Sara Okafor · Accepted Answer

You already have the hardest part: working with messy data. Suggested order:
1. scikit-learn fundamentals: train/test split, cross-validation, metrics.
2. One end-to-end project deployed as an API (FastAPI + Docker).
3. Basics of experiment tracking (MLflow).
4. Then deep learning with PyTorch.

Engineering skills (testing, deployment) matter as much as models.

Aisha Bello · Answer

Agree. Deploying one model end to end taught me more than three courses.

Data analyst to ML engineer: what should I learn first?

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