Programming Languages›Advanced Python

Master Advanced Python — From Core Concepts to Data Science & Web Development!

⭐ 4.5/5👩‍🎓 12,556+ students

Take your Python skills to the next level! Learn advanced programming concepts, data analysis, web development, and real-world project integration. This coursehelps you move from beginner to expert with hands-on exercises and live projects.

About This Course

The Advanced Python course by Urbancode covers everything from Python fundamentals to complex application development. Starting with essential syntax and OOP principles, you’ll move through advanced concepts like decorators, asynchronous programming, and frameworks such as Flask and Django. The program concludes with expert-level training in Data Science, Deep Learning, and DevOps integration, making you industry-ready.

Advanced Python
  • Hours of Instructor-Led Training
  • Hands-on Projects across Web, Data & AI
  • Includes Beginner → Expert Level Topics
  • Mentor Support, Assignments & Code Reviews
  • Job Assistance & Portfolio Guidance
  • Urbancode Certificate of Completion

What You'll Learn

Master Advanced Python Concepts

Learn closures, decorators, iterators, and metaclasses in depth.

Develop Real-World Applications

Build GUI apps, APIs, and automation tools using modern Python.

Work with Data & Analysis

Perform analysis with NumPy, Pandas, Matplotlib, and Seaborn.

Create Web Applications

Use Flask and Django frameworks to build and deploy web apps.

Apply Machine Learning Concepts

Understand the basics of ML with scikit-learn, TensorFlow, and PyTorch.

Master DevOps & System Programming

Learn microservices, CI/CD pipelines, and network programming.

Course Content

  • Introduction to Python and its applications
  • Setting up your development environment
  • Data types, variables, and expressions
  • Operators, conditional statements, and loops
  • Functions and modules
  • Debugging and error handling

  • Lists, tuples, and dictionaries
  • String manipulation and formatting
  • Working with files
  • Regular expressions
  • Basic data structures and algorithms

  • User input and output
  • Object-oriented programming concepts
  • Working with APIs
  • Version control using Git
  • Building simple GUI applications

  • Decorators and closures
  • Iterators and generators
  • Context managers and metaclasses
  • Asynchronous programming
  • Unit testing and debugging