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Curriculum Designed By Python Training Experts
Expertly designed curriculum for future-ready professionals.Industry Oriented Curriculum
An exhaustive curriculum designed by our industry experts which will help you to get placed in your dream IT company
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30+  Case Studies & Projects
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9+  Engaging Projects
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10+   Years Of Experience
- Introduction to Python and its applications
- Setting up Python environment (IDEs, Anaconda, Jupyter Notebook)
- Python syntax, keywords, and indentation rules
- Conditional statements: if, elif, else
- Loops: for and while loops
- Loop control statements: break, continue, pass
- Nested loops and conditional statements
- List, dictionary, and string iteration techniques
- Lists, tuples, sets, and dictionaries
- Operations: add, remove, update, and access elements
- Indexing, slicing, and iteration
- Comprehensions: list, dictionary, and set comprehensions
- Nested data structures
- Real-world exercises using Python collections
- Defining and calling functions
- Function arguments: positional, keyword, default, and variable-length
- Return values and scope of variables
- Lambda functions
- Reading and writing text files
- Working with CSV and JSON files
- File modes and file operations
- Handling exceptions while working with files
- Context manager (with statement) for file handling
- Classes and objects in Python
- Attributes and methods
- Inheritance, polymorphism, and encapsulation
- Constructors and destructors
- Method overloading and overriding
- Real-world OOP project examples
- Introduction to popular Python libraries
- NumPy arrays and array operations
- Data manipulation with Pandas
- Data visualization using Matplotlib and Seaborn
- Types of exceptions in Python
- Using try, except, finally blocks
- Raising exceptions with raise
- Debugging techniques and tools
- Logging in Python
Python Training Projects
Become a Python Training Expert With Practical and Engaging Projects.
- Practice essential Tools
- Designed by Industry experts
- Get Real-world Experience
Calculator Application
Build a basic calculator that performs addition, subtraction, multiplication, and division. Learn to handle user input, data types, and basic control flow. This project helps strengthen your problem-solving and logical thinking skills.
To-Do List Manager
Create a simple command-line to-do list app to add, view, and delete tasks efficiently. Practice using lists, loops, and functions. It also teaches basic data organization and file management techniques effectively.
Number Guessing Game
Develop an interactive game where the user guesses a randomly generated number. Learn conditional statements, loops, and random module usage. This project enhances your understanding of Python’s standard libraries and control flow.
Library Management System
Build a system to track books, members, and borrowing status. Work with dictionaries, lists, and file handling for data storage. This project introduces practical database handling concepts in Python.
Weather App (API-based)
Create a Python app that fetches real-time weather data from an API. Learn JSON handling, API requests, and data parsing. You will also understand how to integrate external data sources into your applications.
Quiz Application
Develop a quiz app that asks questions, validates answers, and calculates scores. Practice functions, loops, and user interaction. This project strengthens your skills in interactive program design and logic implementation.
E-commerce Shopping Cart
Build a shopping cart system with product selection, pricing, and order summary. Implement OOP concepts and data persistence. This project gives practical experience in designing real-world business applications.
Chat Application
Create a simple chat app using sockets for real-time communication. Learn about networking, threading, and advanced Python modules. Explore client-server architecture and concurrency in Python.
Data Analysis Project
Analyze a dataset using Pandas, NumPy, and Matplotlib to extract insights and visualize data. Practice data cleaning, manipulation, and visualization. This project prepares you for real-world data science and analytics tasks.
Key Features
Practical Training
Global Certifications
Flexible Timing
Trainer Support
Study Material
Placement Support
Mock Interviews
Resume Building
Batch Schedule
Weekdays Regular (Class 1Hr - 1:30Hrs) / Per Session
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27 - Oct - 2025 Starts Coming Monday ( Monday - Friday) 08:00 AM (IST)
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29 - Oct - 2025 Starts Coming Wednesday ( Monday - Friday) 10:00 AM (IST)
Weekend Regular (Class 3Hrs) / Per Session
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01- Nov - 2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session
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02 - Nov - 2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Enquiry Form
- Learning strategies that are appropriate and tailored to your company's requirements.
- Live projects guided by instructors are a characteristic of the virtual learning environment.
- The curriculum includes of full-day lectures, practical exercises, and case studies.
Python Training in OMR Overview
Python Professional’s Potential Career Paths
Python professionals have vast opportunities in software development, data analysis, AI, and web development. Roles include Python Developer, Data Analyst, Machine Learning Engineer, Automation Specialist, or Software Engineer. With Python Training in OMR, learners gain expertise to build scalable applications, analyze complex data, and implement AI solutions, leading to career growth in global IT organizations.
Requirements for Python Course in OMR
- Basic Computer Knowledge: Understanding variables, loops, and logical operations is helpful. Builds a foundation for learning advanced programming concepts. Improves the ability to develop efficient algorithms and solutions.
- Familiarity with Programming Concepts: Prior exposure aids in learning Python syntax and logic. Enhances comprehension of coding structures and patterns. Supports faster adaptation to new programming challenges.
- Analytical Skills: Strong problem-solving and debugging skills enhance efficiency. Helps in identifying errors quickly and applying optimal fixes. Supports logical thinking for complex project development.
- Commitment to Learning: Regular practice with coding exercises and projects ensures success. Builds deeper understanding through consistent hands-on work. Strengthens the ability to apply knowledge to real-world scenarios.
Reasons to Consider Enrolling in Python Certification in OMR
Gain practical experience by working on real-world Python projects while acquiring in-demand programming skills that open doors to high-paying roles. Learn directly from industry experts who provide professional guidance, benefit from project-based learning coupled with placement assistance, and prepare effectively for Python certification and career advancement opportunities.
Techniques and Trends in Python Placement in OMR
- Hands-On Project Learning: Work on real-world problem simulations. Develop practical skills that prepare you for industry challenges. Gain confidence in implementing solutions under real project conditions.
- Integration with Tools & Libraries: Learn databases, web frameworks, and analytics tools. Build expertise in combining multiple technologies for robust solutions. Improve efficiency by leveraging specialized libraries and tools.
- Advanced Analytics: Use libraries like Pandas, NumPy, and TensorFlow. Perform complex data processing and modeling. Gain skills in building predictive and analytical models for real-world applications.
- Real-Time Application Development: Build scalable apps and automation scripts. Learn best practices for designing efficient and maintainable code. Gain experience deploying applications in live environments.
- Cloud & AI Trends: Exposure to cloud platforms, AI libraries, and frameworks. Understand emerging trends shaping modern technology landscapes. Learn to apply AI and cloud solutions to practical business needs.
The Most Recent Python Training with Certification Tools
The Python training program covers a comprehensive set of tools and platforms to equip learners with practical, industry-ready skills. Participants gain hands-on experience with Python 3.x, using Jupyter Notebook, PyCharm, and VS Code for coding, debugging, and project development. For data manipulation, analysis, and visualization, learners work extensively with libraries like NumPy, Pandas, Matplotlib, and Seaborn. Web development and application integration are addressed using frameworks such as Flask and Django, while database management is taught with SQLite and MySQL. Additionally, learners explore machine learning and AI concepts through Scikit-learn and TensorFlow, and gain exposure to cloud simulation platforms to practice real-time coding scenarios, ensuring they are fully prepared for professional Python roles and projects.
Career Opportunities After Python Training
Python Developer
Python Developers write, test, and maintain Python code for applications, websites, and software solutions. They work on backend systems, APIs, and automation scripts. Strong understanding of Python frameworks like Django or Flask is essential. They collaborate with teams to build efficient and scalable software.
Data Analyst
Data Analysts use Python to collect, clean, and analyze data to extract actionable insights. They work with libraries like Pandas, NumPy, and Matplotlib for data visualization. Their role involves interpreting trends and patterns to support business decisions. They also create reports and dashboards for stakeholders.
Data Scientist
Data Scientists leverage Python for statistical analysis, machine learning, and predictive modeling. They work with large datasets to solve complex business problems. Python libraries like SciPy, scikit-learn, and TensorFlow are heavily used. They transform raw data into meaningful insights and AI-driven solutions.
Machine Learning Engineer
ML Engineers design and implement machine learning models using Python. They train algorithms, optimize models, and deploy AI solutions. Knowledge of Python libraries like TensorFlow, PyTorch, and Keras is crucial. They apply ML techniques to solve real-world problems like recommendation systems.
Automation Engineer
Automation Engineers use Python to automate repetitive tasks and workflows in IT, finance, and business processes. They write scripts to improve efficiency and reduce errors. Tools like Selenium and Python scripting are often used. Their work ensures smoother operations and faster execution of tasks.
Backend Developer
Backend Developers build server-side logic, APIs, and databases using Python. They manage server configurations, data storage, and integrations. Frameworks like Django and Flask are widely used in this role. They ensure applications are fast, secure, and scalable for robust user-facing platforms.
Skill to Master
Python Programming Fundamentals
Object-Oriented Programming (OOP)
Data Manipulation with Pandas & NumPy
Data Visualization with Matplotlib & Seaborn
Web Development with Flask/Django
Working with APIs & JSON Data
File Handling & Automation Scripts
Exception Handling & Debugging
Machine Learning Basics with scikit-learn
Web Scraping with BeautifulSoup
Problem-Solving & Algorithmic Thinking
Real-World Project Development & Deployment
Tools to Master
Python IDEs – PyCharm, VS Code
Jupyter Notebook
Anaconda Distribution
Git & GitHub for Version Control
NumPy Library
Pandas Library
Matplotlib & Seaborn for Visualization
Flask/Django Frameworks
Requests & BeautifulSoup for Web Scraping
scikit-learn for Machine Learning
MySQL/PostgreSQL for Database Handling
Virtual Environments
Learn from certified professionals who are currently working.
Training by
Rakesh Kumar, having 12 yrs of experience
Specialized in: Python Development, Data Science, and Automation.
Training: Hands-on, project-based Python training with real-world applications.
Note: Rakesh is recognized for his deep expertise in Python frameworks and his ability to simplify complex programming concepts for beginners and professionals alike.
We are proud to have participated in more than 40,000 career transfers globally.
Python Certification
- Validates expertise in Python programming and applications.
- Enhances credibility for IT and analytics roles.
- Improves career growth opportunities and salary potential.
- Provides hands-on project experience.
- Prepares for roles in development, analytics, and automation.
Yes, options range from beginner to advanced, including Python Programming, Data Analytics, Machine Learning with Python, and Web Development with Python. These certifications validate skills and increase employability.
- Python Developer – Build and maintain applications.
- Data Analyst – Analyze data for insights.
- Machine Learning Engineer – Implement AI/ML solutions.
- Automation Specialist – Develop automation tools.
Yes, learners can specialize in areas like Data Analytics, Machine Learning, or Web Development to expand their skillset and career options.
- Python Developer – Software design and development.
- Data Analyst – Data interpretation and reporting.
- Machine Learning Engineer – Predictive modeling and AI.
- Automation Specialist – Workflow optimization and scripting.
Yes, Python Certification exams can be taken online through authorized platforms with remote proctoring.
- Provides access to high-paying programming roles.
- Offers real-world project experience.
- Enhances career growth and global job opportunities.
- Builds confidence with certification preparation.
Not necessarily. While prior experience is helpful, project-based training provides hands-on exposure, making learners placement-ready.
Frequently Asked Questions
- Register for a free demo session directly through the institute’s website.
- Get a course overview, trainer introduction, and a preview of teaching methods.
- Yes, including resume building for Python roles, interview preparation, and job referrals through hiring partners.
- Yes, it is widely recognized, validating practical proficiency and hands-on skills for career credibility.
- Yes, multiple workshops cover Python programming, data analysis, automation, machine learning, and web integration with real-time scenarios.
- Trainers bring 8–15 years of experience in development, analytics, and automation.
- Many hold certifications and apply real-world expertise to training.