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GATE data science and AI

The DA paper of GATE, for M.Tech and M.S. admissions in data science and AI. Mapped from the official GATE 2027 syllabus (IIT Madras).

Draft. Based on the published syllabus as we read it. How roles get checked

20 stops to go, about 514 hours of study.

Open a stop to see the book, the video course and the practice for it. Tick its circle when you've finished.

  1. 20 h

    Maths foundations. Ready to start.

  2. 40 h

    Maths foundations. After Mathematical proof.

  3. 40 h

    Maths foundations. Ready to start.

  4. 40 h

    Maths foundations. Ready to start.

  5. 40 h

    Programming. Ready to start.

  6. 8 h

    Programming. After Programming in Python.

  7. 10 h

    Data. Ready to start.

  8. 6 h

    Algorithms and data structures. After Discrete maths.

  9. 10 h

    Algorithms and data structures. After Programming in Python.

  10. 15 h

    Algorithms and data structures. After Arrays, lists, stacks and queues and Recursion.

  11. 8 h

    Algorithms and data structures. After Arrays, lists, stacks and queues.

  12. 25 h

    Algorithms and data structures. After Arrays, lists, stacks and queues and Big-O and running time.

  13. 60 h

    Machine learning. After Linear algebra, Probability and Programming in Python.

  14. 30 h

    Machine learning. After Programming in Python and Probability.

  15. 40 h

    Data. After SQL, Trees and heaps and Hash tables.

  16. 30 h

    Data. Ready to start.

  17. 40 h

    Maths foundations. Ready to start.

  18. 25 h

    Machine learning. After Machine learning.

  19. 15 h

    Data. After SQL.

  20. 12 h

    Algorithms and data structures. After Arrays, lists, stacks and queues and Recursion.

That's everything for to get hired.