Certificate in Python Advance

Certificate in Python Advance

The Certificate in Python Advanced is designed for individuals who already have a foundational understanding of Python and want to deepen their expertise in advanced programming concepts, data structures, algorithms, and real-world applications. This course covers object-oriented programming (OOP), functional programming, data handling, web development, automation, and more.

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Description

Course Duration

  • Total Duration: 8–12 weeks (flexible learning options available)

  • Mode of Delivery: Online/In-person/Hybrid

  • Hours per Week: 6–8 hours (including lectures, assignments, and projects)

Course Modules

1. Advanced Python Programming

  • Deep dive into Python data structures (lists, tuples, sets, dictionaries)

  • Advanced functions (lambda, closures, decorators, generators)

  • Memory management and optimization techniques

2. Object-Oriented Programming (OOP) in Python

  • Classes, objects, inheritance, polymorphism, encapsulation

  • Magic methods (__str__, __repr__, __init__)

  • Design patterns in Python (Singleton, Factory, Observer)

3. Functional Programming in Python

  • Pure functions, immutability, higher-order functions

  • map(), filter(), reduce(), and list comprehensions

  • Recursion and memoization

4. File Handling & Data Serialization

  • Working with files (CSV, JSON, XML, binary files)

  • Serialization with pickle and json modules

  • Database interactions (SQLite, PostgreSQL with psycopg2)

5. Web Scraping & Automation

  • Web scraping with BeautifulSoup and Scrapy

  • Automating tasks with Selenium

  • Working with APIs (RESTful APIs, requests library)

6. Concurrency & Parallelism

  • Multithreading vs. multiprocessing

  • asyncio for asynchronous programming

  • Parallel processing with concurrent.futures

7. Testing & Debugging in Python

  • Unit testing with unittest and pytest

  • Debugging techniques using pdb

  • Logging and error handling best practices

8. Real-World Projects & Case Studies

  • Building a Python-based web application (Flask/Django)

  • Data analysis with pandas and NumPy

  • Developing a chatbot or automation script

Learning Outcomes

By the end of this course, students will:
✔ Master advanced Python concepts and best practices
✔ Build scalable and efficient Python applications
✔ Work with databases, APIs, and web frameworks
✔ Automate tasks and extract data from the web
✔ Implement OOP and functional programming effectively
✔ Debug, test, and optimize Python code

Who Should Enroll?

  • Programmers with basic Python knowledge looking to advance their skills

  • Data analysts, software developers, and IT professionals

  • Students and professionals aiming for careers in Python development, automation, or data science

Certification

Upon successful completion of the course (including assignments and a final project), participants will receive a Certificate in Python Advanced.

Prerequisites

  • Basic knowledge of Python (variables, loops, functions)

  • Familiarity with programming concepts (recommended)

Fee Structure

  • Standard Fee: $300–$600 (varies by institution)

  • Early Bird/Group Discounts: Available

Career Opportunities

  • Python Developer

  • Data Engineer/Analyst

  • Backend Developer

  • Automation Engineer

  • Software Engineer

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