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.
Description: There is a long history of the application of statistical methods on collected data (for example data from experiments). The current replication crisis in science is evidence that sometimes (maybe even often) statistical methods are used wrongly or their results misinterpreted. In this course we give a coherent introduction to statistical analyses and their interpretation […]
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 […]
Date and time: 30 April 2025 from 9:00 to 16:00. Target group This course is exclusively for PhD students at University of Copenhagen. Academic Aim The purpose of this course is to introduce PhD students from the humanities to the basics of research data management, how to comply with the UCPH Data Management Policy, and how to […]
Welcome to Method comparison reliability and agreement 2025 Program: BEN (also relevant for B, CPM, CSLTM, HES) Description: The course will focus on the importance of method comparison studies when evaluating new clinical and experimental methods. The course will describe how method comparison studies are designed and how obtained results are analysed and described. Application of analytical […]
Aim and content This is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH. Anyone can apply for the course, but if you are not a PhD student at the Graduate School, you will be placed on the waiting list […]
# Computational Research Methods, a PhD Course at Copenhagen Business School. ## Course Description This course is designed for doctoral students who are interested in applying computational research methods to social science research. The overarching objectives of the course are to (1) familiarize students with key concepts in the field of computational social science, and […]
Welcome to Radio Simulation Techniques Description: Due to the increasing complexity of radio systems, the use of advanced simulations is becoming one of the preferred methodologies for realistic performance assessments. In line with this statement, the leading industrial standardization forum for cellular systems – the Third-Generation Partnership Program (3GPP) – also relies heavily on advanced simulations […]
Aim and content This 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 […]
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 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 […]
In recent years, the increasing role of computational methods has significantly influenced statistical practice. Resampling techniques have become essential tools for constructing inferential procedures. These inferential procedures usually consist of constructing confidence intervals, estimating standard errors, performing hypothesis tests, generating prediction regions, and selecting regression models. A key challenge in many of these tasks is […]
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 This is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH. Anyone can apply for the course, but if you are not a PhD student at the Graduate School, you will be placed on the waiting list […]