Python Course Overview
This course is designed to help learners gain job-ready Python programming skills through hands-on projects and real-world scenarios. Whether you’re a beginner or looking to strengthen your programming foundation, this course ensures you can apply Python at work immediately.
Python Certification – Key Features
- 30+ Hands-On Practice Sessions
– Apply concepts in real-time with guided coding exercises across all modules. - Real-Life Capstone Project
– Solve a real-world problem to gain practical experience and build your portfolio. - Industry-Recognized Certificate
– Earn a certificate upon completion to validate your Python programming skills. - Live Online Classes with 8X Higher Interaction
– Learn from industry experts in highly engaging, instructor-led sessions with Q&A and doubt-solving.
Pre-requisites
No Prior Coding Experience Required – Suitable for absolute beginners
Skills Covered
- Core Python Programming
- Problem-Solving with Python
- Data Structures & File Handling
- Functions & Modular Code Design
- Object-Oriented Programming (OOP)
- Data Analysis Basics
- Error Handling & Debugging
- Automation Scripting
Who Should Join
- Students & Beginners: Start coding from scratch
- Non-Technical Professionals: Learn Python for automation and analytics
- Career Changers: Build programming skills for IT & data roles
- Working Professionals: Apply Python to real-world tasks at work
Course Content
Module 1: Getting Started with Python
- Introduction to Python & its applications
- Installing Python & setting up the environment
- Writing your first Python program
- Understanding Python IDEs: VS Code, Jupyter Notebook
Module 2: Python Fundamentals
- Variables, data types, and operators
- Input/output functions
- Type casting and basic functions
- Hands-on exercises for basic coding
Module 3: Control Structures
- Conditional statements: if, elif, else
- Loops: for, while
- Loop control statements: break, continue, pass
- Practical coding exercises
Module 4: Data Structures in Python
- Lists and list operations
- Tuples, sets, and dictionaries
- Built-in methods for data structures
- Mini-project: Simple data management application
Module 5: Functions & Modular Programming
- Defining and calling functions
- Function arguments & return values
- Lambda functions and recursion basics
- Importing and using Python modules
Module 6: File Handling & Exception Handling
- Reading and writing text & CSV files
- Error handling using try-except-finally
- Logging basics for error tracking
- Practical example: File-based automation
Module 7: Object-Oriented Programming (OOP)
- Introduction to classes and objects
- Constructors and destructors
- Inheritance, polymorphism, and encapsulation
- Mini-project: Simple OOP-based application
Module 8: Python Libraries for Data Analysis
- Introduction to NumPy: Arrays and operations
- Pandas basics: Series, DataFrames, data cleaning
- Simple data analysis use cases
Module 9: Automation & Scripting
- Writing Python scripts for automation
- Working with OS and sys modules
- Automating repetitive tasks with Python
Module 10: Capstone Project
- End-to-end project integrating all concepts
- Hands-on coding with real-world scenario
- Presentation and feedback from mentors
