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.
Aim and contentThis course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD Students from NorDoc member universities. All other participants must pay the course fee.Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will be placed […]
In an era of explosive growth in complex data, our course is your bridge to a deeper understanding of Functional Data Analysis (FDA)and Machine Learning (ML). The main challenge today isn't data availability but rather our ability to interpret it. Join our growing community of professionals applying ML to tackle complex data challenges. This crash […]
Aim and contentThis course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD Students from NorDoc member faculties. All other participants must pay the course fee.Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will be placed […]
Welcome to Principles of Data Visualisation and storytelling Organizer: Gabriela Montoya Lecturers: Luis-Daniel Ibáñez (Lecturer at University of Southampton, UK) ECTS: 2 Date/Time: 14-15 May 2024 Deadline: 23 April 2024 Max no. Of participants: 25 Description: For most tasks where we collect and/or analyse data, the ability to visualise what we are doing is critical for making sense to yourself and your […]
The course will provide an introduction to the statistical software R for people with a basic knowledge of statistical concepts. R has become the lingua franca in statistics and many applied fields. The flexibility and large number of user-contributed packages makes it an extremely useful statistical toolbox for almost any data analysis and visualization problem. […]