Python Programming – Foundation & Advanced
Master Python from fundamentals to advanced concepts through hands-on projects. Learn to build real-world applications, work with data, and create portfolio-ready projects.
(Duration: 120-140 hours)
Course Modules
Module 1: Introduction to Python & Programming Basics
- Overview of Python and its applications
- Installing Python & setting up development environment
- Writing and running Python scripts
- Understanding Python syntax and indentation
- Variables, constants, and basic operators
- Data Types in Python: Numbers, Strings, Booleans
- Type conversion and user input
Module 2: Python Data Structures & Fundamentals
- Lists: creation, indexing, slicing, and common methods
- Tuples: creation, immutability, and use cases
- Dictionaries: key-value pairs, adding/removing items, looping
- Sets: creation, operations, and uniqueness property
- String manipulation and formatting
- Control Structures: if-else, loops (for, while)
- Functions: defining, parameters, return values, scope
- Exception handling (try-except)
Module 3: Advanced Python Concepts
- Object-Oriented Programming (OOP)
- Classes and Objects
- Attributes and Methods
- Inheritance, Encapsulation, and Polymorphism
- Regular Expressions (Regex)
- File Handling: Reading/Writing text, CSV, JSON
- Modules & Packages
- Iterators and Generators
Module 4: Database Programming & Web Scraping
- Introduction to Databases & SQL
- Connecting Python to Databases (SQLite/MySQL)
- CRUD operations with Python
- Web scraping using requests and BeautifulSoup
- Working with APIs (JSON & REST)
Module 5: Data Analysis & Visualization with Python
- Introduction to NumPy: arrays, indexing, slicing
- Pandas for data manipulation: Series, DataFrame, reading/writing files
- Data Cleaning and Transformation
- Data Visualization using Matplotlib & Seaborn
- Mini project: Analyzing and visualizing a dataset
Capstone Project
At the end of the course, participants will work on a real-world Python project that integrates all the skills learned during the training. This project will involve:
- Designing and developing a complete Python application from scratch
- Implementing data structures, functions, and object-oriented programming
- Connecting to a database for data storage and retrieval
- Working with APIs and/or web scraping for real-time data
- Performing data analysis and visualization to generate insights
- Presenting the project with clear documentation and code explanation