1. Introduction to Python (Week 1)
- •What Python is and where it is used
- •Features and applications of Python
- •Installing Python and setting up an IDE
- •Using the Python interpreter
- •Writing and running the first program
Learn Python programming in San Jose with hands-on practice in Python, Jupyter Notebook, VS Code, PyCharm, NumPy, Pandas, Matplotlib, Seaborn, Flask, and Django. You will build core programming skills, data analysis workflows, basic web apps, and real-time projects that match what employers ask for.
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Learning Python is useful only when you can turn it into a job-ready profile. Inventateq focuses on helping learners present their project work, tools, and practical skills in a way that fits Python Developer, Junior Python Developer, Data Analyst, and Python Web Developer roles in San Jose.
Python roles in San Jose appear across software teams, backend development, automation, data analytics, and QA. Pay typically rises with project experience, Python libraries, web frameworks, and the ability to work on production code.
Python Developer Average Salary by Experience
Python roles in San Jose appear across software teams, backend development, automation, data analytics, and QA. Pay typically rises with project experience, Python libraries, web frameworks, and the ability to work on production code.
Python Developer Average Salary by Experience
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Inventateq teaches Python through clear fundamentals, guided coding practice, and real projects. The syllabus moves from basic syntax and control flow to data structures, functions, OOP, file handling, libraries like NumPy and Pandas, and an overview of Flask and Django, so learners understand both programming and application building.
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Live online Python classes let you learn from San Jose with the same syllabus, trainer access, and project-based practice. Sessions are suitable for working professionals and students who want to study from home while staying on track with assignments and mentor feedback.
Anyone starting from zero and wanting a structured Python learning path can join.
College students who want Python skills for projects, internships, and entry-level roles will benefit.
IT and non-IT professionals who want Python for automation, scripting, or data work can join.
Learners moving into software, backend, or data analytics can use this course as a practical entry point.
People interested in data analysis, problem solving, and coding fundamentals will find the course useful.
Mode: Online live and classroom options
Learning style: Trainer-led with coding practice
Pace: Structured from basics to projects
Support: Doubt clearing during and after class
No prior coding background is needed to start.
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Inventateq keeps the training practical from day one. Learners write code, solve tasks, build projects, and learn how Python is used in data work, automation, and web development.
By the end of the course, learners can write Python programs, handle data, use libraries, and build basic web and automation projects. They also learn how to explain their work clearly in interviews.
You move from basic syntax to functions, loops, data structures, and OOP. This gives you the ability to write clean Python code for small and medium tasks.
You use NumPy, Pandas, Matplotlib, and Seaborn for data handling and visualization. That supports entry-level data analysis work and portfolio projects.
You get an overview of Flask, Django, and REST APIs. This helps you understand backend development and how Python fits web applications.
You practice CSV, JSON, file modes, and exception handling. These are common requirements in scripting, automation, and data workflows.
Projects like a calculator, student management system, web scraper, and data analysis task show that you can apply Python concepts in real work.
Resume building and interview preparation are part of the course. You learn how to present your Python skills, tools, and project outcomes clearly.
The certification validates that you have completed structured Python training with coding practice, projects, and tool-based learning. It helps employers see that you have studied both programming fundamentals and practical application work.
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 syllabus starts with Python basics, setup, variables, input and output, operators, and control flow. From there it moves into loops, data structures, functions, and OOP. That makes it suitable for someone starting from zero.
Yes. The course includes a calculator application, student management system, web scraper project, and a data analysis project. These projects help you practice the concepts instead of only reading theory. They also become useful points in your resume and interview discussion.
Yes. You learn NumPy, Pandas, Matplotlib, and Seaborn as part of the Python libraries section. That gives you a practical base for cleaning data, analyzing it, and creating visual output. It is useful for Junior Data Analyst and Data Analyst roles.
Yes. Python is often one of the better starting points for non-technical learners because the syntax is readable and the course starts with fundamentals. The training is designed to move step by step through the core topics. With practice and mentor support, learners from non-programming backgrounds can build a solid base.
Yes. Live online classes are available for learners in San Jose who want to study from home. You still get trainer-led sessions, coding practice, and project guidance. This is useful for students and working professionals with tight schedules.
The duration depends on the batch format and learning pace, but the syllabus is structured across multiple modules from basics to projects. That gives enough time to cover programming, libraries, web basics, and interview preparation properly. The focus is on practical completion, not rushing through the content.
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