Course curriculum

    1. Lecture 01 - Data Science and AI Fellowship

    2. Lecture 02 - Data Science and AI Fellowship

    3. Lecture 03 - Data Science and AI Fellowship

    4. Lecture 04 - Data Science and AI Fellowship

    5. Lecture 05 - Data Science and AI Fellowship

    6. Lecture 06 - Data Science and AI Fellowship

    7. Lecture 07 - Function parameters/arguments and types

    8. Lecture 08 - Global/local scope

    9. Lecture 09 - Data Science and AI Fellowship

    10. Lecture 10 - Data Science and AI Fellowship

    11. Lecture 11 - Data Science and AI Fellowship

    12. Lecture 12 - Data Science and AI Fellowship

    13. Lecture 13 - Data Science and AI Fellowship

    14. Lecture 14 - Data Science and AI Fellowship

    15. Lecture 15 - Data Science and AI Fellowship

    16. Lecture 16 - Data Science and AI Fellowship

    17. Lecture 17 - Data Science and AI Fellowship

    18. Lecture 18 - Data Science and AI Fellowship

    19. Lecture 19 - Data Science and AI Fellowship

    20. Lecture 20 - Data Science and AI Fellowship

    21. Lecture 21 - Data Science and AI Fellowship

    22. Lecture 22 - Data Science and AI Fellowship

    23. Lecture 23 - Data Science and AI Fellowship

    24. Lecture 24 part 01 - Data Science and AI Fellowship

    25. Lecture 24 part 02 - Data Science and AI Fellowship

    26. Lecture 25 - Data Science & AI fellowship

    27. Lecture 26 - Data Science & AI fellowship

    28. Lecture 27 - Data Science and AI Fellowship

    29. Lecture 28 - Data Science and AI Fellowship

About this course

  • $100.00
  • 29 lessons
  • 83.5 hours of video content

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