Course Overview

Python is a high-level, open-source, and versatile programming language widely used in:

  • Web Development (Django, Flask)
  • Data Science & Machine Learning (NumPy, Pandas, Scikit-learn, TensorFlow)
  • Automation & Scripting
  • Game Development
  • AI & Cloud Applications
  • Python’s easy-to-read syntax makes it ideal for both beginners and professionals.

❓ Why this Course?

  • Learn step by step from basics to advanced.
  • Build real-world projects (calculator, web apps, automation scripts, data dashboards).
  • Gain hands-on knowledge of popular libraries & frameworks.
  • Prepares you for job roles in web development, data analytics, automation, and AI.
  • Foundation for advanced fields: Data Science, AI, Machine Learning, DevOps.

🎓 Why Choose GIT India?

  • Expert Trainers – with real industry & project experience.
  • Hands-on Training – coding practice, assignments & projects.
  • Industry-Oriented Curriculum – aligned with IT company requirements.
  • Flexible Learning – Online + Classroom modes.
  • Placement Assistance – tie-ups with IT companies & startups.
  • Affordable fees with globally relevant skills.

🗂️ Course Curriculum 
🔹 Module 1: Introduction to Python

  • Python installation & setup
  • IDEs: PyCharm, Jupyter, VS Code
  • Syntax, variables, data types
  • Input/output functions
  • Operators & expressions

🔹 Module 2: Control Flow

  • Conditional statements (if-else, nested if)
  • Loops (for, while, nested loops)
  • Loop control statements (break, continue, pass)

🔹 Module 3: Data Structures in Python

  • Lists, Tuples, Sets, Dictionaries
  • String operations & functions
  • List comprehensions
  • Sorting, searching, slicing

🔹 Module 4: Functions & Modules

  • Defining & calling functions
  • Arguments, return values
  • Lambda functions
  • Python modules & packages
  • Error handling (try, except, finally)

🔹 Module 5: Object-Oriented Programming (OOPs)

  • Classes & Objects
  • Constructors, methods
  • Inheritance, polymorphism, encapsulation
  • Magic methods & dunder methods

🔹 Module 6: File Handling & Exception Handling

  • File read/write operations
  • Working with text, CSV, and JSON files
  • Exception handling best practices

🔹 Module 7: Python Libraries for Data

  • NumPy – arrays, mathematical operations
  • Pandas – data frames, cleaning, manipulation
  • Matplotlib & Seaborn – data visualization

🔹 Module 8: Database Connectivity

  • MySQL with Python
  • SQLite & CRUD operations
  • Connecting Python with databases

🔹 Module 9: Web Development with Python

  • Basics of Flask / Django
  • Creating simple web applications
  • Handling forms & APIs

🔹 Module 10: Advanced Python & Automation

  • Regular Expressions (Regex)
  • Multithreading & multiprocessing
  • Python for automation (sending emails, scraping, bots)

🔹 Module 11: Final Project Work

  • Real-world projects (E-commerce website, Data dashboard, Automation script, etc.)
  • Industry-standard coding practices
  • Portfolio development

🧑‍💻 Career Opportunities after Python

  • Python Developer – ₹3.5L to ₹8L per year
  • Data Analyst – ₹4L to ₹9L per year
  • Web Developer (Python/Django) – ₹4L to ₹10L per year
  • Machine Learning Engineer – ₹6L to ₹15L per year
  • Automation Engineer – ₹4L to ₹12L per year
  • AI Engineer / Data Scientist – ₹6L to ₹20L per year

(Salary ranges depend on experience & company)

✅ Eligibility

  • 10th / 12th Pass, Diploma, or Graduates from any stream.
  • No prior coding experience required – Python is beginner-friendly.
  • Suitable for students, freshers, IT professionals, and career changers.
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