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B03 - Data Professional Bootcamp - Preview

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  1. Fundamentals of Data & AI

    Course Roadmap: Fundamentals of Data & AI
  2. Module 1: Fundamentals of Data & AI
    1 Topic
    |
    2 Quizzes
  3. Module 2: Fundamentals of Data & AI
    1 Topic
  4. Module 3: Fundamentals of Data & AI
    3 Topics
  5. Excel Essentials
    A10-Microsoft Excel Essentials - Course Roadmap
  6. How to Download and Use Excel on a Mac
  7. Module 1: Excel Essentials Part I
    3 Topics
    |
    1 Quiz
  8. Module 2: Excel Essentials Part II
    3 Topics
  9. Module 3: Excel Casus
    2 Topics
  10. Data visualization with Power BI
    Course Roadmap: Data Visualization with Power BI
  11. How to Download and Use Power BI on a Mac (optional)
  12. Module 1: Power BI -ETL
    2 Topics
  13. Module 2: Power BI - Calculations
    2 Topics
  14. Module 3: SQL & data engineering
    3 Topics
  15. Data storytelling
    Course Roadmap: Data Storytelling
  16. Module 1: Why Visualize Data?
    1 Topic
  17. Module 2: Creating Impactful Data Visuals
    1 Topic
  18. Module 3 Data storytelling final assignment
    3 Topics
  19. Programming with Python
    Course Roadmap: Programming with Python
  20. Module 1: Programming with Python
    1 Topic
    |
    1 Quiz
  21. Module 2: Programming with Python
    1 Topic
    |
    1 Quiz
  22. Module 3: Programming with Python
    2 Topics
    |
    1 Quiz
  23. Machine Learning with Python
    Course Roadmap: Machine Learning with Python
  24. Module 1: Machine Learning with Python
    1 Topic
    |
    1 Quiz
  25. Module 2: Machine Learning with Python
    1 Topic
    |
    1 Quiz
  26. Module 3: Machine Learning with Python
    3 Topics
  27. Deep Learning
    Course Preview: Deep Learning with Python
  28. Module 1: Deep Learning with Python
    1 Topic
    |
    1 Quiz
  29. Module 2: Deep Learning with Python
    1 Topic
  30. Module 3: Deep Learning with Python
    2 Topics
  31. AI Literacy
    Course Roadmap: AI Literacy & Ethics course
  32. Module 1: AI Literacy & Ethics
    1 Topic
  33. Module 2: AI Literacy & Ethics
    1 Topic
  34. Module 3: AI Literacy & Ethics
    3 Topics
  35. Final Assignment
    1. Final Assignment - Introduction
  36. 2. Final Assignment - Case
  37. 3. Final Assignment Description - Data Professional Bootcamp
    2 Topics
  38. 4. Final Assignment Upload - Data Professional Bootcamp
  39. Final Assignment Datascience - Presentation
  40. Unlock more course material

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