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B01 - Datascience bootcamp - Group (2025 edition)

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  1. Kick-off

    Let’s start your learning journey - Group version
  2. Data Science & AI Bootcamp Introduction
  3. Introduction to datascience and AI
    Module 1: Key concepts
    1 Topic
    |
    1 Quiz
  4. Module 2: Use cases
    1 Topic
    |
    1 Quiz
  5. Module 3: Fundamentals of Data & AI
    1 Topic
  6. Datavisualization with Power BI
    Course Roadmap: Data Visualization with Power BI
  7. Module 1: Power BI -ETL
    2 Topics
  8. Module 2: Power BI - Calculations
    2 Topics
  9. Module 3: SQL & data engineering
    2 Topics
  10. Closure: Data Visualization with Power BI
  11. Programming with Python
    Course Roadmap: Programming with Python
  12. Module 1: Programming with Python
    1 Topic
    |
    1 Quiz
  13. Module 2: Programming with Python
    1 Topic
    |
    1 Quiz
  14. Module 3: Programming with Python
    2 Topics
    |
    1 Quiz
  15. Programming with Python: Personal Feedback
  16. Machine Learning with Python
    Course Roadmap: Machine Learning with Python
  17. Module 1: Machine Learning with Python
    1 Topic
    |
    1 Quiz
  18. Module 2: Machine Learning with Python
    1 Topic
    |
    1 Quiz
  19. Module 3: Machine Learning with Python
    2 Topics
    |
    1 Quiz
  20. Machine Learning with Python: Personal Feedback
  21. Data & Ethics
    Course Roadmap: AI & Ethics
  22. Module 1: Responsible AI: Fairness & Transparency
    1 Topic
    |
    3 Quizzes
  23. Module 2: Ethical AI Practices
    1 Topic
  24. Module 3 Case Study: AI & Ethics
    2 Topics
  25. Individual assignment
    1. Final Assignment - Introduction
  26. 2. Final Assignment - Case
  27. 3. Final Assignment Description - Datascience Bootcamp
    2 Topics
  28. 4. Final Assignment Upload - Datascience Bootcamp
  29. Final Assignment Datascience - Presentation
  30. Join quarterly graduation ceremony
  31. Fill out the course evaluation survey
  32. Claim your completion certificate
  33. (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