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B01 - Datascience Bootcamp - Group version

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  1. Welcome to your Bootcamp!

    Let’s start your learning journey - Group version
  2. Fill in the intake form
  3. Meet your instructor(s) and learning manager
  4. Request your unique Amsterdam Data Academy sweater
  5. Fundamentals of Data & AI
    Course Roadmap: Fundamentals of Data & AI
  6. Module 1: Fundamentals of Data & AI
    1 Topic
    |
    2 Quizzes
  7. Live Session 1: Fundamentals of Data & AI
  8. Module 2: Fundamentals of Data & AI
    1 Topic
  9. Live Session 2: Fundamentals of Data & AI
  10. Module 3: Fundamentals of Data & AI
    2 Topics
  11. Live Session 3: Fundamentals of Data & AI
  12. Closure: Fundamentals of Data & AI
    1 Topic
  13. Programming with Python
    Programming with Python - Course outline
  14. Module 1: Programming with Python
    1 Topic
    |
    1 Quiz
  15. Live Session 1: Programming with Python
  16. Module 2: Programming with Python
    1 Topic
    |
    1 Quiz
  17. Live Session 2: Programming with Python
  18. Module 3: Programming with Python
    2 Topics
    |
    1 Quiz
  19. Live Session 3: Programming with Python
  20. Closure: Programming with Python
    1 Topic
  21. Machine Learning with Python
    Course Roadmap: Machine Learning with Python
  22. Module 1: Machine Learning with Python
    1 Topic
    |
    1 Quiz
  23. Live Session 1: Machine Learning with Python
  24. Module 2: Machine Learning with Python
    1 Topic
    |
    1 Quiz
  25. Live Session 2: Machine Learning with Python
  26. Module 3: Machine Learning with Python
    2 Topics
  27. Live Session 3: Machine Learning with Python
  28. Closure: Machine Learning with Python
    1 Topic
  29. Deep Learning with Python
    Course Preview: Deep Learning with Python
  30. Module 1: Deep Learning with Python
    1 Topic
  31. Live session 1: Deep Learning with Python
  32. Module 2: Deep Learning with Python
    1 Topic
  33. Live session 2: Deep Learning with Python
  34. Module 3: Deep Learning with Python
    2 Topics
  35. Live session 3: Deep Learning with Python
  36. Closure: Deep Learning with Pyton
  37. AI Literacy
    Course Roadmap: AI Literacy & Ethics course
  38. Module 1: AI Literacy & Ethics
    1 Topic
  39. AI Literacy – Live Session 1
  40. Module 2: AI Literacy & Ethics
    1 Topic
  41. AI Literacy – Live Session 2
  42. Module 3: AI Literacy & Ethics
    2 Topics
  43. AI Literacy – Live Session 3
  44. Closure: AI Literacy
    1 Topic
  45. Final Assignment
    1. Final Assignment - Introduction
  46. 2. Final Assignment - Case
  47. 3. Final Assignment Description - Datascience Bootcamp
    2 Topics
  48. 4. Final Assignment Upload - Datascience Bootcamp
  49. 5. Final Assignment - Presentation
  50. Next Steps
    Fill out the course evaluation survey
  51. Claim your completion certificate
  52. Join quarterly graduation ceremony
  53. (Optional) Internship

Welcome to the Machine Learning with Python course!

In this course, you’ll learn how to design, build, and evaluate machine learning models using Python and popular libraries such as Scikit-learn and TensorFlow.

Machine learning is a powerful field that enables computers to learn from data, recognize patterns, and make predictions. By mastering techniques like regression, classification, and deep learning, you’ll gain practical skills for solving real-world problems in business, technology, and research.

This course includes self-paced modules, step-by-step guidance, and a final assignment where you’ll apply your knowledge to build and deploy a complete machine learning project.

Let’s get started and unlock the power of machine learning with Python!

If you need any help with the instructor you can reach out via this email: Ott_Johanna@gmx.de