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This Python Programming course provides a solid foundation in one of the world’s most versatile languages. Students learn core programming concepts, automation, data handling, and application development through hands-on practice, preparing them for real-world tech roles in software development, data science, and automation.

#330,000

#550,000

PROGRAM OVERVIEW

The Python Programming Program is a comprehensive, industry-driven training designed to equip beginners and aspiring professionals with the technical skills needed to thrive in today’s digital economy. Over four months, students gain a strong foundation in Python — one of the world’s most powerful and in-demand programming languages — while developing practical skills through hands-on projects and real-world applications.

The program begins with core programming concepts and progresses into advanced topics such as data structures, object-oriented programming, APIs, automation, data analysis, and basic machine learning. Students learn by doing, working with modern tools, libraries, and development environments that reflect current industry standards.

By the end of the program, participants will be capable of building Python applications, automating tasks, handling databases, working with data, and developing basic web apps using frameworks like Flask. Each student completes a capstone project that showcases their new skills and strengthens their portfolio.

Whether you’re starting a tech career, transitioning from another field, or expanding your digital capabilities, this program provides a solid pathway into software development, data, automation, and beyond. Graduates finish with confidence, competence, and job-ready skills.

What You'll Learn

Module 1: Introduction & Setup (Week 1)
  • Understanding programming concepts

  • Installing Python & VS Code

  • Working with IDLE and terminal

  • Writing your first Python script

  • Variables, data types, input/output

  • Hands-on: Simple calculator program

Module 2: Control Flow Essentials (Week 2)
  • Operators & expressions

  • Conditional statements (if/elif/else)

  • Boolean logic

  • Practical decision-making programs

  • Mini-project: Student grading system

Module 3: Loops & Iteration (Week 3)
  • for and while loops

  • Loop control statements (break, continue, pass)

  • Nested loops

  • Hands-on exercises: Number guessing game, multiplication table generator

Module 4: Data Structures – Lists & Tuples (Week 4)
  • List operations & methods

  • Tuple uses & immutability

  • Slicing & indexing

  • Practical: Build a contact list manager

Module 5: Dictionaries & Sets (Week 5)
  • Dictionary basics & methods

  • Set operations

  • Use cases in real-world development

  • Lab: Word frequency counter

Module 6: Functions & Modules (Week 6)
  • Defining and calling functions

  • Parameters, return values

  • Lambda functions

  • Creating custom modules

  • Mini-project: Modular utility toolkit

Module 7: Error Handling & Debugging (Week 7)
  • Try/except blocks

  • Raising exceptions

  • Debugging with VS Code tools

  • Logging basics

Module 8: File Handling (Week 8)
  • Reading/writing text files

  • Working with JSON files

  • CSV handling using Python’s csv module

  • Lab: Build a file-based inventory system

Module 9: Object-Oriented Programming (OOP) (Week 9)
  • Classes, objects, constructors

  • Inheritance, polymorphism

  • Encapsulation & abstraction

  • Practical: OOP student record system

Module 10: Advanced OOP & Project Structuring (Week 10)
  • Multiple inheritance

  • Magic methods

  • Writing clean object-oriented code

  • Packaging programs

  • Mini-project: Library management system

Module 11: Working With External Libraries (Week 11)
  • Installing and managing packages with pip

  • Popular libraries:

    • Requests

    • Pillow

    • Rich

  • API basics (GET, POST)

  • Lab: API-powered weather application

Module 12: Data Visualization & Automation (Week 12)
  • Introduction to Pandas

  • Data cleaning

  • Plotting with Matplotlib

  • Automating tasks (Excel, folder operations, notifications)

  • Mini-project: Automated sales report generator

Module 13: Introduction to Databases (Week 13)
  • SQL fundamentals

  • Connecting Python to databases (SQLite/MySQL)

  • CRUD operations

  • Lab: Python + SQLite employee database

Module 14: Web Development with Python (Week 14)
  • Introduction to Flask

  • Routes, templates, forms

  • Building a basic Flask web app

  • Mini-project: Personal portfolio website with Flask

Module 15: Introduction to Machine Learning (Beginner-Friendly) (Week 15)
  • What is ML?

  • Numpy & Pandas deeper dive

  • Training simple models with Scikit-learn

  • Hands-on: Predict student scores using Linear Regression

Module 16: Final Capstone Project (Week 16)
  • Students select from:

    • Web app with Flask

    • Automation tool

    • Data analysis dashboard

    • OOP-driven desktop tool

    • Small ML model

  • Final presentation & assessment

  • Certification and portfolio review

Career Path After Completion
  • Python Developer

  • Data Analyst

  • Data Scientist

  • Machine Learning Engineer

  • AI Engineer

  • Backend Developer

  • DevOps Engineer

  • Automation Engineer

  • Software Engineer

  • Web Developer (with Django/FastAPI)

  • Cybersecurity Analyst, etc.

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