1. Python Introduction and Setup (Week 1)
- •What Python is and where it is used
- •Python features and common applications
- •Installing Python and setting up an IDE
- •Using the Python interpreter
- •Writing and running your first program
Join Inventateq’s Python course in New York and learn Python programming from the basics to OOP, file handling, data analysis, and web development. You will work with Python, Jupyter Notebook, VS Code, PyCharm, NumPy, Pandas, Matplotlib, Seaborn, Flask, and Django as part of the training.
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Learning Python is only part of the job search. Inventateq helps you present your project work, tools, and problem-solving skills in a way employers in New York can evaluate quickly. The support is focused on practical readiness for Python Developer, Data Analyst, Automation, and Backend roles.
Python roles in New York are found across software development, data analytics, automation, backend systems, and web applications. Pay usually rises with project experience, library knowledge, and the ability to work with APIs, data tools, and frameworks.
Python Average Salary by Experience
Python roles in New York are found across software development, data analytics, automation, backend systems, and web applications. Pay usually rises with project experience, library knowledge, and the ability to work with APIs, data tools, and frameworks.
Python Average Salary by Experience
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Data Engineering @ Accenture - 12 LPA
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SQL Developer @ Wipro - 10 LPA
Salesforce Administrator @ Deloitte - 15 LPA
RPA Developer @ IBM - 20 LPA
Tableau Developer @ Genpact - 20 LPA
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Data Engineering @ Accenture - 12 LPA
Junior Accountant @ Fortis - 8 LPA
SQL Developer @ Wipro - 10 LPA
Salesforce Administrator @ Deloitte - 15 LPA
RPA Developer @ IBM - 20 LPA
Tableau Developer @ Genpact - 20 LPA
Talent Acquisition Executive @ Tech Mahindra - 12 LPA
Angular Developer @ Capgemini - 15 LPA
Data Analyst @ Amazon - 25 LPA
Java Developer @ Oracle - 25 LPA
CATIA Design Engineer @ TATA Motors - 20 LPA
AWS Solutions Architect @ Accenture - 25 LPA
Python Developer @ Mphasis - 15 LPA
QA Engineer @ HCLTech - 15 LPA
Cloud DevOps Engineer @ LTIMindtree - 18 LPA
Digital Marketer @ Google - 20 LPA
BTM Layout @ Inventateq - -
Genuine Reviews @ Inventateq - 25 LPA - 50LPA

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Inventateq teaches Python in a practical sequence, starting with syntax, control flow, and data structures before moving into functions, OOP, file handling, and advanced Python topics. The course then connects Python to data work with NumPy, Pandas, Matplotlib, and Seaborn, and finishes with Flask, Django, REST API basics, and real projects.
We stand apart through our commitment to:

The live online Python batch for New York learners follows the same practical syllabus with instructor-led sessions and guided exercises. You can join from anywhere, stay on track with the assignments, and complete the same projects and interview preparation with live support.
Anyone starting from zero can join because the course begins with Python setup, syntax, and basic programming.
College students who want a practical coding path can use this course to build projects and job-ready skills.
Professionals moving into software, data, or automation can learn Python with guided practice and tools.
Learners aiming for data analysis roles will benefit from NumPy, Pandas, Matplotlib, and Seaborn.
Those interested in backend, Flask, Django, scraping, or scripting can use the course as a foundation.
Mode: Offline classroom and live online options
Level: Beginner to advanced Python training
Practice: Hands-on exercises in every major module
Projects: Real-time projects included in the course
No prior programming background is required to start.
Rated 4.9/5
Inventateq keeps the Python course practical from the first class. You learn by writing code, solving exercises, and completing projects that connect programming basics with data, automation, and web development.
This course gives you hands-on practice with Python syntax, data structures, OOP, file handling, libraries, and basic web development. You finish with projects that show you can code, analyze, and build small applications.
Move from first program to structured coding with variables, loops, functions, and modules. You will understand how Python programs are built and how to solve routine problems.
Use classes, objects, constructors, inheritance, and polymorphism to design cleaner code. This helps you understand how real software is structured.
Work with text files, CSV, and JSON, and manage errors properly. These skills are useful in scripting, automation, and data processing tasks.
Use NumPy, Pandas, Matplotlib, and Seaborn to clean and present data. This gives you a practical base for data analyst and reporting work.
Learn Flask, Django, REST API concepts, and backend basics at an introductory level. That makes it easier to move toward web and backend roles.
Complete real-time projects and use them in resume and interview preparation. This helps you explain your skills with concrete examples instead of theory.
The certificate shows that you completed structured training in Python programming, libraries, projects, and introductory web development. It helps employers see that you have practical exposure to the tools and topics used in junior Python and data roles.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Yes, it starts with Python basics, installation, and your first program. You do not need prior programming experience to begin. The training then moves step by step into loops, data structures, functions, and projects.
Yes, the syllabus includes real-time projects such as a calculator application, student management system, web scraper, and data analysis project. These projects help you apply what you learn instead of only memorizing concepts. They also make your resume stronger.
Yes, placement support is part of the course. You get resume help, interview preparation, and guidance on how to present your projects. The support is aimed at roles like Python Developer, Data Analyst, Automation Engineer, and Backend roles.
Yes, non-technical learners can join because the course begins with the basics. The lessons build gradually from syntax and logic to libraries and web concepts. With regular practice, many students from non-programming backgrounds can keep up well.
Yes, live online training is available for learners in New York. It follows the same syllabus and includes instructor-led classes, practice, and project work. That makes it a good option if you prefer learning from home or need a flexible schedule.
The curriculum is structured in a module-based format that can be covered in a planned training schedule. The exact pace depends on the batch mode and your learning consistency. You will move through basics, advanced Python, libraries, web concepts, and projects in sequence.
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