Course Overview

Course Description:Learn Python fundamentals including syntax, data types, loops, and functions. Build simple programs and automation scripts.

Topics Covered:

• Python Basics
• Introduction to big data technologies (Hadoop, Spark)
• Variables
• Loops

Syllabus

Module 1: Python Basics & Foundations

• Introduction to Python & Installation (Anaconda, Colab, VS Code)
• Variables, Data Types, Operators
• Input/Output & String Manipulation
• Control Structures (if-else, loops)
• Functions & Scope

LAB 1

• Write a Python Program for a Calculator
• Create Programs for Prime Numbers, Factorial, Fibonacci Series
• Work with Strings (Palindrome Checker, Word Counter)

Module 2: Data Structures & File Handling

• Lists, Tuples, Sets, Dictionaries
• List Comprehensions & Advanced Operations
• File Handling (Read/Write Text, CSV, JSON)
• Exception Handling (try / except / finally)

LAB 2

• Implement a To-Do List App using Lists & Dictionaries
• Read & Process a CSV File (Kaggle Dataset)
• Build a Program that Logs Errors into a File

Module 3: Object-Oriented Programming & Modules

• Classes & Objects
• Inheritance, Polymorphism, Encapsulation
• Python Modules & Packages (math, datetime, os, random)
• Virtual Environments & pip

LAB 3

• Create a Bank Account Class (Deposit, Withdraw, Balance)
• Build a Student Management System using OOP Concepts
• Use os & datetime Modules to Manage Files Dynamically

Module 4: Advanced Python (Libraries & Projects)

• NumPy & Pandas for Data Manipulation
• Matplotlib & Seaborn for Visualization
• Introduction to APIs & Web Scraping (Requests, BeautifulSoup)
• Tkinter Basics for GUI Development
• Final Mini-Project Integration

LAB 4

• Perform Data Analysis on a Kaggle Dataset using Pandas
• Build a Graph Plotter (Line, Bar, Scatter) with Matplotlib
• Scrape Live News Headlines from a Website
• Capstone Project: Expense Tracker / Weather App / Student Dashboard

Learning Outcome

Develop strong Python programming skills including OOP, data handling, visualization, and GUI development. Gain the ability to analyze datasets, automate tasks, work with external data sources, and build practical real-world applications.

Course Overview

Course Description:This course covers Python functions, OOP, and file handling to help you write cleaner, structured, and data-driven programs.

Topics Covered:

Topics Covered

• Functions: Reusable blocks of code that perform specific tasks and help avoid repetition.
• OOP (Object-Oriented Programming): A programming approach based on classes and objects that helps structure code cleanly.
• File Handling: Reading from and writing to files to store and manage data outside the program.

Learning Outcome

• Learn design basics and creative tools.
• Master layout, color, and branding.
• Create social media and print designs.

Course Overview

Course Description:This module focuses on creating real-world projects, using APIs, and gaining practical industry experience through an internship.

Topics Covered

• Projects: Practical hands-on tasks that help apply your knowledge to real-world problems.
• APIs: Tools that allow different software systems to communicate and share data with each other.
• Internship: Real industry work experience that helps build skills, confidence, and professional understanding.

Learning Outcome

• Develop and implement complete functional projects
• Integrate and work with external APIs
• Gain real workplace exposure and teamwork experience
• Improve problem-solving, communication, and professional skills