What you'll learn
By the end of this course, you will be able to:
Write Python programs confidently from scratch.
Understand and use Python’s core syntax, variables, and data types.
Implement decision-making and looping structures.
Work with strings, lists, tuples, sets, and dictionaries.
Create functions, use lambda expressions, and apply recursion.
Handle files, exceptions, and comprehensions.
Apply Object-Oriented Programming (OOP) principles.
Work with databases using SQLite & MySQL.
Use Python for Data Science with NumPy, Pandas, and Matplotlib.
Build Flask web applications and automation scripts.
Develop real-world portfolio projects for job readiness.
Write Python programs confidently from scratch.
Understand and use Python’s core syntax, variables, and data types.
Implement decision-making and looping structures.
Work with strings, lists, tuples, sets, and dictionaries.
Create functions, use lambda expressions, and apply recursion.
Handle files, exceptions, and comprehensions.
Apply Object-Oriented Programming (OOP) principles.
Work with databases using SQLite & MySQL.
Use Python for Data Science with NumPy, Pandas, and Matplotlib.
Build Flask web applications and automation scripts.
Develop real-world portfolio projects for job readiness.
Who is this for
Students preparing for coding interviews or competitive programming
Data Science, AI, and Machine Learning aspirants looking to master Python fundamentals
Web development beginners who want to use Python for backend development
Professionals from non-technical backgrounds aiming to switch to IT/software careers
Existing programmers who want to deepen their Python knowledge and explore advanced concepts
Hobbyists, entrepreneurs, and automation enthusiasts wanting to build projects with Python
Data Science, AI, and Machine Learning aspirants looking to master Python fundamentals
Web development beginners who want to use Python for backend development
Professionals from non-technical backgrounds aiming to switch to IT/software careers
Existing programmers who want to deepen their Python knowledge and explore advanced concepts
Hobbyists, entrepreneurs, and automation enthusiasts wanting to build projects with Python
Course Content
- Introduction to Python & its applications (video)
- Installing Python, IDE setup (VS Code, Jupyter Notebook) (video)
- Syntax, indentation, and comments (video)
- Variables & data types (video)
- Input/Output functions (video)
- Type casting and basic type checking (video)
- Mini Project: Simple Calculator (video)
- Arithmetic, comparison, logical, and bitwise operators (video)
- Operator precedence (video)
- if, elif, else statements (video)
- for and while loops (video)
- Loop control (break, continue, pass) (video)
- Mini Project: Number Guessing Game (video)
- Strings (indexing, slicing, methods) (video)
- Lists (CRUD operations, methods) (video)
- Tuples & Sets (video)
- Dictionaries & nested data structures (video)
- Mini Project: Contact Book CLI App (video)
- Defining and calling functions (video)
- Parameters & return values (video)
- Default, keyword, variable-length arguments (video)
- Lambda functions (video)
- map(), filter(), reduce() (video)
- Recursion basics (video)
- Mini Project: Word Frequency Counter (video)
- Importing and creating modules (video)
- Common built-in modules (math, random, os, sys) (video)
- File reading/writing (text, binary, CSV) (video)
- JSON file handling (video)
- Mini Project: CSV to JSON Converter (video)
- Exception handling (try-except-finally) (video)
- Raising custom exceptions (video)
- List, dictionary, and set comprehensions (video)
- Mini Project: Log File Analyzer (video)
- Classes & objects (video)
- Constructors, destructors (video)
- Inheritance & polymorphism (video)
- Encapsulation (video)
- Dunder methods (__init__, __str__, etc.) (video)
- Mini Project: Bank Account Management System (video)
- Iterators & generators (video)
- Decorators (video)
- Context managers (with statement) (video)
- Regular expressions (re module) (video)
- Mini Project: Email Extractor from Text (video)
- SQLite basics (video)
- MySQL with mysql.connector (video)
- CRUD operations (video)
- Mini Project: Student Management System with DB (video)
- NumPy basics (arrays, operations) (video)
- Pandas basics (Series, DataFrame, CRUD) (video)
- Data cleaning & transformation (video)
- Matplotlib & Seaborn for visualizations (video)
- Mini Project: Sales Data Analysis (video)
- Flask basics (routes, templates, static files) (video)
- Forms & data handling (video)
- File automation scripts (video)
- Sending automated emails (video)
- Mini Project: Flask To-Do App (video)
- Choose 2–3 projects: (video)
- Blog Application (Flask) (video)
- Chatbot (video)
- Data Dashboard (video)
- Web Scraper (video)
- GitHub portfolio building (video)
- Python coding interview practice (video)
- Certification exam (optional) (video)
Requirements
No prior programming experience needed – beginners welcome.
A computer (Windows/Mac/Linux) with internet access.
Python (free) and a code editor like VS Code (free) installed – setup covered in the course.
Eagerness to learn and practice regularly.
A computer (Windows/Mac/Linux) with internet access.
Python (free) and a code editor like VS Code (free) installed – setup covered in the course.
Eagerness to learn and practice regularly.
Description
This Python Masterclass is your complete guide to learning Python from zero to hero. Designed for beginners as well as intermediate learners, this course combines theory, hands-on coding, and real-world projects to help you master Python quickly and effectively. Over 12 weeks, you’ll progress through topics like Python syntax, data structures, functions, modules, file handling, OOP, advanced Python features, databases, data science, web development, and automation. Every module includes step-by-step explanations, practical coding exercises, quizzes, and projects that build your skills progressively.
