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STRUCTURED CERTIFICATE

Introduction to Data Science and AI with Python (Part 2)

Take your Python skills to the next level by building real-world projects, mastering OOP, working with databases, handling errors, using GitHub, and exploring the foundations of Data Science and AI development.

0 students
Beginner
O

Educator

Oladeinde Muis

Introduction to Data Science and AI with Python (Part 2)
₦30,000

This course includes:

  • Certificate of completion
  • Full lifetime access

Yes

Certificate

Welcome to Part 2 of Introduction to Data Science and AI with Python , where you transition from learning fundamentals to building real-world, practical applications.
This course is designed to strengthen your programming foundation and prepare you for data-driven and AI-focused development.

What You’ll Learn

You will move beyond basic syntax and start applying Python in real development scenarios:
  •  Complete a Milestone Project with 6 practical coding challenges
  •  Master Object-Oriented Programming (OOP)
  •  Implement professional Error Handling techniques
  •  Work with Files, Modules, Libraries, and Packages
  •  Use Regular Expressions (Regex) for text processing
  •  Learn version control with Git & GitHub
  •  Connect Python with SQL databases
  •  Build a complete Capstone Project from scratch




  • Why This Course Matters

  • Data Science and AI require more than just knowing Python syntax. You need to:
    • Structure scalable programs
    • Handle real-world data
    • Organize code professionally
    • Work with databases
    • Manage projects using version control
    • Apply logical and analytical thinking
  • This course bridges the gap between beginner programming and real-world development.

  •  
    Who This Course Is For

    • Students who completed Python basics (Part 1)
    • Beginners ready to move toward Data Science and AI
    • Aspiring developers who want practical experience
    • Anyone who wants to build structured, real-world Python projects


  •  By the End of This Course

  • You will be able to:
    • Build structured applications using OOP
    • Handle errors like a professional developer
    • Work with files and databases
    • Use GitHub confidently
    • Write cleaner, more maintainable code
    • Develop a complete end-to-end Python project
  • This course marks your transition from Python learner to Python practitioner, ready to explore Data Science, Machine Learning, and AI with confidence.