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
Learn Python training in Singapore with a practical course built around Python, Jupyter Notebook, VS Code, PyCharm, and the core libraries used for data work and web basics. You will write programs, work with data structures, build projects, and get introduced to Flask, Django, and REST API concepts.
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Learning Python is only useful when you can apply it in a job role. Inventateq focuses on practical training, project work, and placement support so learners can move toward Python Developer, Data Analyst, Automation, and backend roles in Singapore.
Python roles in Singapore are common across software development, data analysis, automation, and backend teams. Salary usually grows with hands-on experience, project exposure, and stronger command of libraries, frameworks, and deployment tools.
Python Average Salary by Experience
Python roles in Singapore are common across software development, data analysis, automation, and backend teams. Salary usually grows with hands-on experience, project exposure, and stronger command of libraries, frameworks, and deployment tools.
Python Average Salary by Experience
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Inventateq teaches Python through direct practice, not just theory. The course moves from Python basics and control flow to OOP, file handling, data analysis libraries, and an overview of Flask and Django, so learners can see how the language is used in real work.
We stand apart through our commitment to:

Our live online Python batch is available for Singapore learners who want the same syllabus with more flexibility. You can attend from home, follow the trainer live, and complete practical exercises without missing the classroom structure.
Anyone starting coding can learn Python from the basics and build a strong foundation.
College students can use this course to prepare for Python Developer and Data Analyst roles.
Professionals who want automation, scripting, or backend skills can benefit from the course.
Learners from non-programming backgrounds can join with guided practice and mentor support.
Those interested in data analysis and visualization can start with Python libraries like Pandas and Matplotlib.
Duration: Structured classroom and live online learning with consistent practice.
Mode: Available in offline and live online formats for Singapore learners.
Level: Suitable for beginners as well as learners upgrading coding skills.
Focus: Python programming, libraries, projects, and interview preparation.
You can start without a programming background.
Rated 4.9/5
Inventateq keeps the training practical and job-oriented, with clear coverage of Python, data handling, OOP, and real projects. The course is built so learners can move from syntax to useful applications without losing structure.
By the end of the course, learners will have written code, handled data, built simple applications, and completed project work that can be discussed in interviews. They also gain familiarity with the tools used in day-to-day Python work.
Learn to code from basics through advanced concepts so you can handle core Python tasks clearly and correctly.
Complete practical work such as a calculator, student management system, web scraper, and data analysis project.
Work with NumPy, Pandas, Matplotlib, and Seaborn for analysis and visualization tasks.
Apply classes, objects, inheritance, Flask, Django, and REST API concepts in structured exercises.
Read and write CSV and JSON files, manage file modes, and handle errors properly.
Use the course’s resume building and interview preparation support to explain your skills in a job setting.
This certification confirms that you completed the Python syllabus, tool practice, and project work covered in the course. It helps show employers that you can work with Python, data libraries, and basic web concepts in a practical setting.
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 what Python is, how to install it, and how to run your first program. From there, it moves step by step through basics, loops, data structures, functions, and OOP. Beginners can follow the course with regular practice and mentor support.
Yes, the syllabus includes a calculator application, student management system, web scraper project, and data analysis project. These projects help you practice coding, logic, file handling, and library usage. They also give you work you can discuss in interviews.
Yes, placement support is part of the course. You get help with resume preparation, mock interviews, portfolio presentation, and guidance for Python Developer, Data Analyst, Automation, and backend roles. The support is designed to help you present your course work effectively.
Yes, non-technical learners can join because the course starts from the fundamentals. The teaching path is gradual and includes enough practice to help you build logic and confidence. It is a good option if you want to move into programming, data, or automation work.
Yes, the course is available in live online mode for learners in Singapore. You attend instructor-led sessions, ask questions in real time, and follow the same syllabus as the classroom batch. This works well if you need flexibility but still want guided training.
The course is organized in modules from introduction to projects, so the timeline depends on the batch format and pace of learning. The structure is designed to cover basics, advanced concepts, libraries, and projects in a clear sequence. You can speak with the team for the current batch schedule.
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