Data Analytics and Web Development using Python
Part 1: Core Python Fundamentals
Section 1: Python Basics
Introduction to Programming
What is Python and Why Python
Writing Your First Python Code (print() Function)
Installing Python and VS Code (Demo Included)
Understanding Variables and Data Types
Type Casting in Python
Taking User Input in Python
Comments, Escape Sequences, and Python Statements
Operators in Python
Strings in Depth:
- String Slicing & Indexing
- String Methods & Functions
- f-Strings and String Formatting
Section 2: Control Flow and Loops
If-Else Conditional Statements
Match Case Statements
For Loops in Python
While Loops in Python
Break, Continue, and Pass Statements
Section 3: Functions and Modules
Defining Functions in Python
Function Arguments and Return Values
Lambda Functions
Recursion in Python
Modules and Pip (Using External Libraries)
Variable Scope
Docstrings and Code Documentation
Section 4: Data Structures in Python
Lists and List Methods
Tuples and Tuple Operations
Sets and Set Methods
Dictionaries and Dictionary Methods
Section 5: Exception Handling in Python
Types of Errors
Understanding Exceptions
Who Should Handle Errors?
Handling Multiple Exceptions
Try and Except Blocks
Else and Finally Blocks
User-Defined Exceptions
Nested Try-Except Statements
Part 2: Object-Oriented Programming (OOPs)
Section 6: OOPs Fundamentals
Introduction to OOPs
Defining Objects and Classes
The __init__ Constructor and self Keyword
Instance Variables and Methods
Class Variables and MethodsStatic Methods
Property Methods (@property)
Section 7: Inheritance in Python
Introduction to Inheritance
Constructors in Inheritance
Data Hiding
Inner Classes
Section 8: Polymorphism in Python
Understanding Polymorphism
Duck Typing
Method Overloading
Method Overriding
Operator Overloading
Generalization and Specialization
Abstract Classes and Interfaces
Method Resolution Order (MRO)
Part 3: Advanced Python Modules
Section 9: Files, OS & Utilities
Working with Files (Read, Write, Append)
OS and Shutil Modules
File Operations and Directory Management
Command Line Utilities with argparse
Multithreading in Python (threading module)
Regular Expressions (re module)
Date, Time & Calendar Modules
Math Module
Part 4: Databases and SQL
Section 10: Introduction to Databases & SQL
Database Concepts & Terminology
Installing SQLite
DDL & DML Commands
SQL SELECT Queries
WHERE Clause
Joins and Group Queries
Aggregate Functions & Set Operations
Subqueries
Section 11: Database Programming with Python
Connecting Python to SQLite
Creating Databases and Tables
Inserting Data
Querying Data
Updating and Deleting Records
Project: Bank Database System using SQLite
Part 5: Web Development with Django
Section 12: Django Framework
Setting Up Django Projects
URLs, Views, Requests & Responses
Templates, Static Files (CSS, JS, Images), and Dynamic HTML
Working with Models and ORM
Database Relationships (One-to-One, One-to-Many, Many-to-Many)
Querying Data Efficiently
Django Admin Panel Customization
Forms and User Input (Manual & Django Forms API)
Class-Based Views
File Uploads and Media Handling
Sessions and Authentication
Deploying Django Applications
Managing Static and Media Files in Production
Project: Build a Complete Blog Website Step-by-Step
Part 6: Data Analysis and Visualization
Section 13: Python Data Analysis — NumPy, Pandas & Matplotlib
NumPy Fundamentals: Arrays, Indexing, Slicing, Vectorization, Broadcasting
Pandas Series: Creating, Manipulating & Analyzing 1D Data
DataFrames: Handling Tabular Data (.CSV)
Manipulating DataFrames: Grouping, Aggregating, Pivoting
Data Visualization: Line, Bar, Scatter, and Histogram Charts
Date & Time Analysis: Working with Datetime Objects and Time-Series Data
Importing & Exporting Data: CSV, Excel, SQL, etc.
Joining & Merging DataFrames
Mid-Course Project: Retailer Acquisition Analysis
Final Project: Complete Time-Series Analysis and Analytical Report
Part 7: Miscellaneous and Advanced Topics (Optional)
Section 14: Advanced Concepts
Web Scraping (BeautifulSoup, Requests)
Browser Automation (Selenium)