Course Overview
Python is one of the most popular and versatile programming languages today. This comprehensive course covers Python from basics to advanced topics including data science, web development, automation, and machine learning fundamentals.
Whether you're a complete beginner or looking to enhance your Python skills, this course provides hands-on learning with real-world projects and industry-relevant applications.
What You'll Learn
Python Basics
Syntax, variables, data types, operators, and control flow
OOP in Python
Object-Oriented Programming concepts and patterns
Data Science Libraries
NumPy, Pandas, Matplotlib for data analysis
Web Development
Flask/Django frameworks and web scraping
File & Exception Handling
Working with files and robust error handling
Database Connectivity
SQLite and database programming
Prerequisites
- Basic computer knowledge
- Logical thinking ability
- No prior programming experience required
Who Should Enroll?
- Beginners - Start your programming journey with Python
- Data Science Enthusiasts - Learn tools for data analysis
- Professionals - Automate tasks and improve productivity
- Students - Prepare for placements and careers in tech
Detailed Course Curriculum
4-6 week intensive program with hands-on projects
Overview: Master the fundamentals of Python programming.
- Introduction to Python and setup
- Variables, data types, and operators
- Input/output and string manipulation
- Lists, tuples, sets, and dictionaries
- Control structures: if-else, loops
- Functions and lambda expressions
- Modules and packages
- File handling
- Exception handling
Overview: Learn Object-Oriented Programming and advanced Python concepts.
- Object-Oriented Programming concepts
- Classes and objects
- Inheritance and polymorphism
- Decorators and generators
- Regular expressions
- Working with dates and times
- Multithreading basics
Overview: Master essential data science libraries for Python.
- NumPy for numerical computing
- Pandas for data analysis
- Data visualization with Matplotlib
- Seaborn for statistical plots
- Working with CSV and Excel files
- Introduction to machine learning concepts
Overview: Build web applications and automate tasks with Python.
- Web scraping with BeautifulSoup
- Requests library and APIs
- Task automation with Python
- Introduction to Flask/Django
- Database connectivity (SQLite)
- Building a web application project
- Final project and assessment
Frequently Asked Questions
Do I need programming experience to learn Python?
No, this course is designed for absolute beginners. We start from the basics and gradually move to advanced topics.
What career opportunities are available after learning Python?
Python skills open doors to careers in Data Science, Web Development, Machine Learning, Automation, and more.
Will I get hands-on projects?
Yes! The course includes multiple hands-on projects covering data analysis, web scraping, and web applications.