Introduction to Python for Researchers

Imperial College London is a world-leading science and engineering university located in the heart of London. Founded in 1907, it is renowned for excellence in research, innovation and teaching across STEM fields. With over 20,000 students, including more than 8,300 international students, Imperial offers a global, diverse community and strong industry connections that enhance learning and employability.

Imperial’s academic portfolio spans research-led undergraduate and postgraduate programs across science, engineering, medicine and business, with some 102 programs available to students. The college’s reputation is reflected in exceptionally high ratings for teaching and classes, modern facilities and strong student satisfaction. Research centres and partnerships with industry provide practical experience, internships and access to cutting-edge laboratories that prepare graduates for leadership roles.

Life at Imperial combines intense academic focus with the cultural and professional opportunities of London. Campus facilities, accommodation options and student services support wellbeing and career development, while extracurricular clubs and societies foster community and leadership. For international students seeking rigorous STEM training, Imperial delivers world-class instruction, extensive research opportunities and a powerful alumni network that supports global careers.

This program is a non-degree course in Introduction to Python for Researchers at Imperial College London, suitable for researchers across various disciplines. It is an online course taught in English and lasts several weeks. The main advantage is gaining basic Python programming skills for research purposes.

The curriculum covers the basics of Python 3, including variables, types, if-blocks, loops, functions, and exceptions. Learners will develop skills to write code using Visual Studio Code, follow best practices, and design structured code. The course includes projects and support from a learning community to help learners become confident programmers.

After completing this program, learners can pursue careers as Research Programmers, Data Analysts, Scientific Computing Specialists, Python Developers, or Research Software Engineers. They will be able to work in industries such as science, engineering, mathematics, computing, and medicine, with potential employers including research institutions, universities, and technology companies.