Overview
In Introduction to Programming in Python at Vrije Universiteit Amsterdam we will use the Python language, but the skills and principles taught in this course apply to any programming language.
Key facts:
Python code is relatively easy to read and understand and has a vast number of practical applications, including everything from the sciences to the arts. Furthermore, the skills you’ll pick up in this course will be transferable to other programming languages.
Programme Structure
Course topics include, but are not limited to:
- Computer programming concepts
- Programming as a problem-solving tool
- The Python language
- The use of Jupyter notebook
- Best coding practices
- Debugging code
Key information
Duration
- Part-time
- 5 days
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
Credits
Delivered
Disciplines
Computer Sciences Data Science & Big Data View 15 other Short Courses in Data Science & Big Data in NetherlandsAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
This course is suitable for anybody with an interest in learning to program a computer using Python. Master students and PhD candidates of diverse backgrounds (natural or social sciences, humanities) can benefit from this course. The course is practical, not theoretical.
Tuition Fee
-
International
650 EUR/fullTuition FeeBased on the tuition of 650 EUR for the full programme during 5 days. -
EU/EEA
650 EUR/fullTuition FeeBased on the tuition of 650 EUR for the full programme during 5 days.
Students, PhD students and employees of VU Amsterdam, Amsterdam UMC or an Aurora Network Partner€550
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.