1. Introduction to Python (Week 1)
- •What Python is and where it is used
- •Key features and common applications
- •Installing Python and setting up an IDE
- •Using the Python interpreter
- •Writing and running your first program
Join python classes in Santa Clara built around real Python programming, data handling, basic web development, and practical projects. You will work with Python, Jupyter Notebook, VS Code / PyCharm, NumPy, Pandas, Matplotlib, and Flask / Django basics.
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Learning Python is only part of the job. You also need a resume, project proof, and interview practice that match the roles companies hire for in Santa Clara and across California. Inventateq focuses on job-ready preparation with practical support around Python Developer, Data Analyst, and Automation roles.
Python skills are used in software development, data analysis, automation, and backend work across Santa Clara and the wider California tech market. Pay grows with hands-on experience in Python, libraries, and project delivery.
Python Average Salary by Experience
Python skills are used in software development, data analysis, automation, and backend work across Santa Clara and the wider California tech market. Pay grows with hands-on experience in Python, libraries, and project delivery.
Python Average Salary by Experience
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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
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Digital Marketer @ Google - 20 LPA
BTM Layout @ Inventateq - -
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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 basics and moving into loops, data structures, functions, OOP, file handling, and advanced concepts. The course also includes NumPy, Pandas, Matplotlib, Seaborn, Flask, Django, and project work so learners build usable skills instead of only reading theory.
We stand apart through our commitment to:

Live online Python training from Santa Clara follows the same structured syllabus with real-time mentoring and interactive coding sessions. You can attend from home, share your screen for help, and complete the same projects and exercises as classroom learners.
People starting from zero can learn Python basics, data types, loops, and functions in a guided way.
College students who want project experience in Python, data analysis, or web basics can benefit from the course structure.
Working professionals moving into software, automation, or analytics can use this course to build practical Python skills.
Programmers from other languages can strengthen their Python, OOP, and file handling knowledge.
Anyone interested in data work can learn NumPy, Pandas, Matplotlib, and Seaborn through practical exercises.
Mode: Offline in Santa Clara and live online
Format: Instructor-led Python training with hands-on coding
Projects: Calculator, student system, scraper, and data analysis work
Tools: Python, Jupyter Notebook, VS Code, PyCharm, Pandas, Flask, Django
No prior Python experience is required to start this course.
Rated 4.9/5
Inventateq keeps the focus on practice, not just syntax. Learners move through Python fundamentals, data libraries, web basics, and projects in a way that supports real job preparation in Santa Clara.
By the end of the course, learners can write Python programs, work with data, use libraries, and build small applications. The projects and tools covered give you proof of skill that you can present in interviews.
Learn the core language properly, from variables and operators to loops, functions, and OOP. This gives you the base needed for Python Developer and Automation roles.
Use CSV, JSON, Pandas, NumPy, Matplotlib, and Seaborn to clean, organize, and present data. This is useful for data analysis and reporting work.
Create a calculator, student management system, and other practice projects. These projects help you show practical coding ability instead of only classroom knowledge.
Get an overview of Flask, Django, REST APIs, and backend development. That makes the course useful for learners aiming at web development roles.
Work with Jupyter Notebook, VS Code, PyCharm, and supporting tools used in day-to-day Python work. You become comfortable with the environment developers actually use.
Finish with resume building and interview preparation based on the course work you completed. That helps you speak clearly about your Python projects and tools.
The certification validates that you have completed Python programming, data handling, OOP, file handling, library work, and project-based training. It helps show employers that your learning went beyond theory and included practical application.
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. The course starts with installation, interpreter use, and basic syntax before moving into loops, functions, and OOP. Beginners can follow the structure without needing prior coding experience.
Yes. The syllabus includes a calculator application, student management system, web scraper, and data analysis project. These help you practice real code and build interview discussion points.
Yes. Inventateq supports resume preparation, project presentation, mock interviews, and job-role guidance. The support is aimed at helping you apply for Python Developer, Data Analyst, and Automation roles.
Yes, non-technical learners can join if they are ready to practice regularly. The course begins with the basics and builds up step by step. Mentors help make the concepts easier to follow through live examples.
Yes. You can attend offline classes in Santa Clara or join live online sessions. Both options follow the same syllabus and cover the same tools and projects.
The duration depends on the batch format and pace, but the curriculum is structured so each topic is covered in order. You move from core Python to advanced topics, data libraries, web basics, and projects. The course is designed to give enough time for practice, not just lectures.
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