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 […]
# 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 […]
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 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 […]