Online Courses
This summer these courses will be offered online! You can participate from home and still connect with other students from all over the world. Find a course suitable for you below.
4 course(s) found
Data Science in Clinical Practice
Online course

Careful data curation and analyses are essential in developing machine learning algorithms, that may usefully contribute to solving problems encountered in routine healthcare. Nevertheless, many valuable contributions never transition from the computer to the bedside. Often implementation is never attempted, or they fail to get the relevant CE marking (or equivalent local standard), or their implementation fails to elicit the intended health…
Data Stewardship
Online course

Did you ever wonder how you can improve your data management and handling? Have you ever hoped for a clean and indisputable database that you could easily share with your collaborators? Understand the art of Data Stewardship and get a handle on your data! Data could yield great value when processed intelligently for medical data science but holds great risks when processing is lost in complexity. This online Data Stewardship course will guide…
Collaborative Data Science
Online course

Data science relies on working across datasets, teams, disciplines and geographies. Collaboration is crucial, as well as key frameworks. In order to be translatable to patient care, the learning health systems framework helps to conceptualize where healthcare data sits in science, care and evidence domains. Knowledge of key competencies and professions in informatics and data science will facilitate team working. Moreover, without awareness of…
Global Health PhD & Postdoc Workshop Series

This Global Health workshop series will offer participants the opportunity to join various online workshops to improve their academic writing, communication skills and other academic "soft skills" relevant to the field of global health and beyond. In addition, this will be a great opportunity to meet and connect with other PhD candidates and early career researchers.