Our courses

Python is currently the most popular programming language in the world, according to the TIOBE Index. During this course, you will be introduced to Python, a pythonic way of working and thinking, and to web scraping—a powerful method to collect born-digital data for your (scientific) research projects. This course is offered in tandem with “Python from Zero to Hero Part 2,” which builds further on the skills and knowledge built in this course.

This course is designed around the data science lifecycle to show the techniques for handling a data science project. You will be exposed to basic programming skills in Python and learn how to select, clean, analyse, visualise and interpret data.

This course takes off where “Python from Zero to Hero Part 1” ends: turning raw text into meaningful data, or more broadly ‘text mining’. You will be introduced to the ins and outs of text mining with cutting-edge NLP methods, and learn how to pre-process and wrangle text data so that it becomes machine-readable. You will also learn how to harness the capabilities of transformer-based Large Language Models (LLMs) in Python.

This course will expose you to a variety of tools and methods that will allow you to speed up your writing without compromising the quality of your work. During the course, you will write an article about the drivers of energy consumption in the world. You will start from scratch and, by the end of the week, will have your first draft. The objective is to cover all the steps involved in writing a scientific paper.

Are you passionate about the intersection of technology and public health? This exciting one-week course dives deep into the digital transformations reshaping public health in the 21st century. It offers a blend of theory, practical knowledge and critical analysis, and is aimed at students interested in public health, public policy, and the implementation and governance of digital technologies.

This interdisciplinary course offers an introduction to the fascinating world of biochemical sensors, exploring key technologies and applications. Designed for students with diverse backgrounds in the realm of biotechnology and engineering, this course provides a comprehensive overview of various biosensor types.

This course provides an introduction and philosophical investigation of the question if, when and how ethical considerations can or must play a role in the practice of medical professions. It aims to make you aware of the fact that the health sciences are not operating in a moral or philosophical vacuum and that a good knowledge of both the older and recent ethical and philosophical debate in this particular field is of the greatest significance.

Data analytics software such as the open-source programming environment R are becoming more popular. During this course, you will be introduced to three crucial aspects of data analytics in R through lectures and interactive, assignment-based tutorials: (i) basic objects and operations in R; (ii) control flow and programming in R; and (iii) working with data in R (management, analysis, and visualisation).

Data analytics software such as the open-source programming environment R are becoming more popular. During this course, you will be introduced to three crucial aspects of data analytics in R through lectures and interactive, assignment-based tutorials: (i) basic objects and operations in R; (ii) control flow and programming in R; and (iii) working with data in R (management, analysis, and visualisation).