Welcome to your calendar for data science events! Dive into a curated list of courses, conferences, seminars, workshops, and key deadlines. Tailor your search to match your interests by adjusting the event category filters. For those specifically looking for PhD courses, simply modify the filter settings to include these events as well. Stay connected and up-to-date with the latest in data science, all in one place.
To achieve knowledge on data documentation, basic statistical tests and the assumptions for performing these tests. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
To give the participants an introduction to Analysis of Variance with focus on repeated measures in experimental studies, and to enable the participants to choose a relevant statistical analysis of own data. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
The course provides an introduction to more advanced statistical models and analyzes in medical research Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
The course provides the students with basic skills using the most common, simple statistical models and analyzes in medical research Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
To achieve knowledge on data documentation, basic statistical tests and the assumptions for performing these tests. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
3 Week Intensive Summer Course “Information Visualization” Learn how to visualize data from the ground up (visual perception, visual marks and channels, colors) all the way to advanced visualization techniques for multivariate, temporal, geospatial, and network data, as well as their combination in multiple coordinated view setups. The course will feature a mix of lectures, […]
To provide students with an overview on how to take a research idea through to implementing, analyzing, and interpreting an epidemiologic study using the Danish Clinical Cancer Databases, and Denmark’s network of medical and population-based registries. Each concept will be introduced in a lecture. Through a combination of exercises and computer labs, students will be […]
This course will provide students with broad exposure to the elements of machine learning and its practical applications within epidemiologic research and practice. The course will combine didactic lectures with group discussions and programming exercises to ensure a balance of substantive knowledge and practical skills. Through this approach, students will learn to apply critical thinking […]