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Mastering_Python_Online_Course_Curriculum
01-Introduction to Python
🔹 Module 1: Python Fundamentals (4 Weeks)
Setting up Python & IDEs
Data Types, Variables, Typecasting
Operators, Expressions
Input/Output, Basic Formatting
Control Statements: if, elif, else
Loops: for, while, break, continue
📘 Mini Project: BMI Calculator / Interest Calculator
🔹 Module 2: Data Structures in Python (4 Weeks)
Strings, String Formatting & Methods
Lists, Tuples, Sets, Dictionaries
Indexing, Slicing, Iteration
Comprehensions (List/Dict/Set)
📘 Mini Project: Student Record System
🔹 Module 3: Functions, File Handling & Modules (3 Weeks)
Defining and Calling Functions
Arguments, Scope, Recursion
Built-in Functions & Modules
Custom Modules, import, from
File Reading/Writing (.txt, .csv, .json)
📘 Mini Project: To-Do App with File Storage
🔹 Module 4: Object-Oriented Programming (OOP) (3 Weeks)
Classes, Objects, Methods
Constructors, Inheritance, Encapsulation, Polymorphism
__str__, __repr__, super(), isinstance()
📘 Mini Project: Library Management System
🔹 Module 5: Exception Handling & Debugging (2 Weeks)
Types of Errors
Try, Except, Finally
Custom Exceptions
Logging & Debugging Tools
📘 Mini Project: Calculator with Input Validation
🔹 Module 6: Working with Libraries (4 Weeks)
math, datetime, os, random, re (Regex)
Web Requests using requests
Data handling with pandas, numpy
Visualization with matplotlib, seaborn
📘 Mini Project: Data Analyzer for CSV Files
🔹 Module 7: Web Development with Flask (5 Weeks)
Flask Basics & Routing
Templates (Jinja2), Forms & Validations
Session Management
SQLite Integration
Deployment on Heroku/Render
📘 Mini Project: Blog or Contact Manager App
🔹 Module 8: Python for Data Science & ML (6 Weeks)
Data cleaning with pandas
Basic stats and probability
ML with scikit-learn: Regression, Classification, Clustering
Model Evaluation Metrics
📘 Mini Project: Salary Prediction Model / Iris Classifier
🔹 Module 9: Automation & Scripting (3 Weeks)
Automating emails, files & folders
Web scraping using BeautifulSoup, Selenium
Working with APIs
Excel Automation using openpyxl, xlrd, pandas
📘 Mini Project: Daily Report Generator
🔹 Module 10: Capstone Projects & Internship (6 Weeks)
Project 1: Full-Stack Web App (Flask + Database)
Project 2: Machine Learning Model (with Report)
Project 3: Automation Tool (Real-time use case)
🎯 Evaluation & Certification
Module-wise MCQs + Assignments
3 Capstone Projects
Final Assessment Test (Theory + Code)