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Learning roadmap

Data Science Engineer

Master the data lifecycle — analysis, statistics, visualization, and building predictive models that ship.

  • Beginner → Advanced
  • 4 stages
  • 20 topics
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“Turn data into real impact”

4 stages

Structured learning path

20 topics

Curated and hands-on

Projects included

Apply your skills with real projects

Roadmap at a glance

A clear path from fundamentals to advanced, with practical skills at each stage.

  1. 1

    Foundations

    6 topics

    Python, NumPy, Pandas, and clean data workflows.

  2. 2

    Statistics & Analysis

    5 topics

    Probability, EDA, and clear visual storytelling.

  3. 3

    Machine Learning

    5 topics

    Train, evaluate, and tune predictive models.

  4. 4

    Deployment & MLOps

    4 topics

    Ship models and keep them healthy in production.

Ready to start your journey?

Enroll to track progress through every stage of this roadmap.

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