Python Programming Course Overview

Become a Python Programming Expert — Learn Data Structures, Algorithms, Web Development, and Machine Learning in One Complete Program!

Rohil NextGen offers a comprehensive Python training covering Core Python, Object-Oriented Programming, Web Development, and Data Science using industry tools and platforms.

TOP RATED 4.9 4.9 Ratings
3 Months
Course Duration
120
Total Hours
70
Practical Hours
2025
Latest Curriculum

Why Choose Python Programming Certification?

Annual Income

Estimated Salary

₹ 15 L

Job Demand

Yearly Increase in Opportunities

80%

Python Developers Needed

Projected by 2026

2.5 L

Become a Python Programming Specialist

❝ Learn Data Structures, Web Development, and Machine Learning ❞

Course Overview

This Python Programming course equips you with the skills to write efficient Python code, build web applications, and implement machine learning algorithms. You will learn hands-on with Python libraries like Flask, Django, NumPy, and Pandas.

Key Learning Outcomes

  • Master Python Syntax and Object-Oriented Programming (OOP).
  • Learn Web Development with Flask and Django.
  • Work with Databases and SQL using Python.
  • Understand Data Science with NumPy and Pandas.
  • Dive into Machine Learning with TensorFlow and Scikit-learn.

Career Prospects with This Course

  • Work as a Python Developer or Engineer.
  • Join as a Data Scientist or Analyst.
  • Become a Machine Learning Engineer.
  • Take roles as a Cloud Engineer or Backend Developer.
  • Lead Web Development and Automation Projects.

Python Programming – 90 Days (Theory + Practical)

Week 1-2: Python Basics

Theory

  • What is Python? Why Python?
  • Setting up Python (IDLE, VS Code, Jupyter)
  • Variables, Data Types, Type Casting
  • Basic I/O (input(), print())

Practical

  • Simple calculator
  • Print name, age, and hobby interactively

Week 3-4: Control Flow & Functions

Theory

  • Conditional statements (if, elif, else)
  • Loops (for, while) and loop control
  • Functions definition and calling
  • Function arguments and return values

Practical

  • Build a number guessing game
  • Create a temperature converter function
  • Implement a factorial calculator

Week 5-6: Data Structures

Theory

  • Lists, Tuples, Sets, and Dictionaries
  • List comprehensions and operations
  • Dictionary methods and use cases
  • Data structure manipulation techniques

Practical

  • Create a student grade management system
  • Build a contact book using dictionaries
  • Implement data analysis on sample datasets

Week 7-8: Strings & File Handling

Theory

  • String manipulation and methods
  • Regular expressions basics
  • File operations (read, write, append)
  • Working with CSV and JSON files

Practical

  • Build a text analysis tool
  • Create a file encryption/decryption program
  • Implement a log file parser

Week 9-10: Error Handling & Debugging

Theory

  • Exception handling (try, except, finally)
  • Custom exception classes
  • Debugging techniques and tools
  • Logging and error tracking

Practical

  • Create robust applications with error handling
  • Implement custom exception for specific cases
  • Debug and fix provided buggy code

Week 11-12: Object-Oriented Programming (OOP)

Theory

  • Classes and objects
  • Inheritance and polymorphism
  • Encapsulation and abstraction
  • Magic methods and operator overloading

Practical

  • Build a banking system using OOP
  • Create a library management system
  • Implement a game character class hierarchy

Week 13-14: Modules, Packages, & Libraries

Theory

  • Creating and using modules
  • Package structure and distribution
  • Virtual environments and dependency management
  • Popular Python libraries overview

Practical

  • Create your own Python package
  • Set up virtual environments for projects
  • Build a utility module for common tasks

Week 15-16: Working with External Libraries

Theory

  • NumPy for numerical computing
  • Pandas for data manipulation
  • Matplotlib for data visualization
  • Requests for HTTP operations

Practical

  • Analyze and visualize datasets
  • Build a web scraper using Requests and BeautifulSoup
  • Create data analysis reports

Week 17-18: GUI Programming or Web Dev (Optional Track)

Theory

  • Tkinter for desktop applications
  • Flask/Django for web development
  • Database integration with SQLAlchemy
  • REST API development

Practical

  • Build a desktop calculator with Tkinter
  • Create a blog application with Flask
  • Develop a REST API for a todo application

Frequently Asked Questions

What is Python Programming?

Python is a versatile, high-level programming language known for its simplicity and readability. It's widely used for web development, data analysis, artificial intelligence, scientific computing, and automation.

Do I need programming experience for this course?

No prior programming experience is required. The course starts with Python fundamentals and gradually builds up to advanced concepts with hands-on projects suitable for beginners.

Will I receive a certificate after completing the Python Programming course?

Yes, upon successful completion of the course and final project, you will receive a certificate from Rohil NextGen that validates your Python Programming skills.

What kind of projects will I work on during the course?

You'll work on real-world projects including web applications, data analysis tools, automation scripts, machine learning models, and a capstone project that integrates all the Python skills you've learned.

What tools and technologies will I learn?

You'll learn Core Python, OOP concepts, web frameworks (Flask/Django), data science libraries (NumPy, Pandas), machine learning (Scikit-learn, TensorFlow), databases, and various development tools.

What career support do you provide after course completion?

We provide resume building assistance, interview preparation, portfolio development guidance, and connect you with our placement partners for job opportunities in Python development, data science, and related fields.