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 content Four week school designed to introduce different key aspects of Data Science and Machine Learning in different branches of science (chemistry, food & feed, physics, environmental, political economics, etc). The course has the following modules: 1) PROGRAMMING - Introduction to Programming for Multivariate data analysis in Matlab, Python and R This online […]
Aim and content The course will take place over five consecutive Tuesdays, starting Apr. 29, 2025 (i.e. April 29. May 6, May 13, May 20, May 27). The Machine Learning for SCIENCE (MLS) course introduces key analysis methods in Machine Learning. These methods allow investigations of scientific data from most fields, including data from physical […]
Aim and content Researchers are usually interested in investigating causal relationships, i.e., how one thing affects another thing. While the analysis of causal relationships is easiest when using experimental data, in several research areas (e.g., social sciences) experiments are not always feasible, and when they are feasible, they may suffer from important limitations. As a […]
Aim and content Four week school designed to introduce different key aspects of Data Science and Machine Learning in different branches of science (chemistry, food & feed, physics, environmental, political economics, etc). The course has the following modules: 1) PROGRAMMING - Introduction to Programming for Multivariate data analysis in Matlab, Python and R This online […]
Aim and content Four week school designed to introduce different key aspects of Data Science and Machine Learning in different branches of science (chemistry, food & feed, physics, environmental, political economics, etc). The course has the following modules: 1) PROGRAMMING - Introduction to Programming for Multivariate data analysis in Matlab, Python and R This online […]
Aim and content The aim of this course is to introduce the students to all phases in a nutritional metabolomics study, to instruct the students on sample handling, and to train the student in data analysis and in the use of freely available tools for the metabolomics data flow. The course will provide a general […]
Aim and content The course is designed to equip students with the necessary tools to reflect upon and quantify sustainability performance, a crucial component in research, policymaking, corporate decision making, and reporting. It focuses on introducing the fundamental principles of quantitative sustainability assessment of various production systems, including dynamic carbon modelling and utilizing unexplored side […]
Aim and content The aim of course is to equip the participants with statistical methods, and knowledge of the newest research within statistical methods, for evaluation of machine learning and AI. The course runs as a summer school, retreat for five full days. As preparation, the students prepare a poster framing their own research in […]
Aim and content This 2.5 ECTS course introduces small-angle scattering using X-rays (SAXS) and neutrons (SANS) for structural investigations. The course will have a strong hands-on approach, combining lectures, simulations, walked-through analysis examples and actual experiments. For the latter, we will use one of the three SAXS machines at University of Copenhagen. Passing the course […]
Content Aim and content The PhD course is a biennial intensive course for PhD students in need of carrying out sensory or consumer acceptance studies as part of their PhD project. The course introduces the foundations of sensory science and practice of performing sensory tests with trained panels and by consumers including their design and […]