Events Calendar

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.


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  • International School of Chemometrics 2024 – PROGRAMMING – Introduction to Programming (MATLAB, R and Python) for Multivariate Data Analyses

    Aim and contentThe “International School of Chemometrics (ISC) – 2024” is a four-week PhD school specifically aimed at people having acquired some basic understanding of chemometrics. ISC will be offered at practitioner level.“ISC-2024” is addressed to PhD students/post-docs, associate professors, etc. who want to acquire further knowledge on advanced multivariate data analysis from different disciplines […]

  • International School of Chemometrics 2024 – BASIC – Basic Introduction to Chemometrics, Data Types, Data Pre-Processing, PCA, Multivariate Linear Regression and Linear Algebra for Multivariate Data Analysis

    Aim and contentThe “International School of Chemometrics (ISC) – 2024” is a four-week PhD school specifically aimed at people having acquired some basic understanding of chemometrics. ISC will be offered at practitioner level.“ISC-2024” is addressed to PhD students/post-docs, associate professors, etc. who want to acquire further knowledge on advanced multivariate data analysis from different disciplines […]

  • International School of Chemometrics 2024 – INTERMEDIATE – Intermediate Topics on Chemometrics. DoE, Variable Selection Methods, Multivariate Curve Resolution

    Aim and contentThe “International School of Chemometrics (ISC) – 2024” is a four-week PhD school specifically aimed at people having acquired some basic understanding of chemometrics. ISC will be offered at practitioner level.“ISC-2024” is addressed to PhD students/post-docs, associate professors, etc. who want to acquire further knowledge on advanced multivariate data analysis from different disciplines […]

  • Confronting Data through Design Methods – Speculating with Generative AI (GAI)

    ContentThis course is aimed at PhD students, researching within the fields of Computer-Supported Cooperative Work (CSCW), Human-Computer Interaction (HCI), Science- and Technology Studies (STS), Participatory Design (PD) & Critical Data Studies, but the course is open to PhD students from all areas of work- and design studies. The course is given as a mix of hands-on […]

  • International School of Chemometrics 2024 – DL – Deep Learning

    Aim and contentThe “International School of Chemometrics (ISC) – 2024” is a four-week PhD school specifically aimed at people having acquired some basic understanding of chemometrics. ISC will be offered at practitioner level.“ISC-2024” is addressed to PhD students/post-docs, associate professors, etc. who want to acquire further knowledge on advanced multivariate data analysis from different disciplines […]

  • International School of Chemometrics 2024 – CLASS – Linear and Non Linear Classification

    Aim and contentThe “International School of Chemometrics (ISC) – 2024” is a four-week PhD school specifically aimed at people having acquired some basic understanding of chemometrics. ISC will be offered at practitioner level.“ISC-2024” is addressed to PhD students/post-docs, associate professors, etc. who want to acquire further knowledge on advanced multivariate data analysis from different disciplines […]

  • International School of Chemometrics 2024 – DF – Data Fusion

    Aim and contentThe “International School of Chemometrics (ISC) – 2024” is a four-week PhD school specifically aimed at people having acquired some basic understanding of chemometrics. ISC will be offered at practitioner level.“ISC-2024” is addressed to PhD students/post-docs, associate professors, etc. who want to acquire further knowledge on advanced multivariate data analysis from different disciplines […]

  • International School of Chemometrics 2024 – MW – Multi Way Analysis

    Aim and contentThe “International School of Chemometrics (ISC) – 2024” is a four-week PhD school specifically aimed at people having acquired some basic understanding of chemometrics. ISC will be offered at practitioner level.“ISC-2024” is addressed to PhD students/post-docs, associate professors, etc. who want to acquire further knowledge on advanced multivariate data analysis from different disciplines […]

  • 2nd Copenhagen School of Stochastic Programming

    Department of Mathematical Sciences Universitetsparken 5

    ContentThis course provides a rigorous and research-oriented introduction to stochastic programming, a mathematical framework for decision-making in the presence of uncertainty. In many real-life problems, important information is unknown to the decision-maker and only distributional information is available. Examples include the scheduling of power generation while demand and renewable production is uncertain, investments in assets […]

  • Geometric Morphometrics in R

    ContentThe field of geometric morphometrics (GM) is concerned with the quantification and analysis of patterns of shape variation and its covariation with other variables. Advances in the statistical treatment of morphometric data, made largely possible by the course instructors, have led to a revolution in GM that can be seen across scientific disciplines, including paleontology, ecology, evolutionary biology, evo-devo, and […]

  • Advanced Measurements and Analyses of Greenhouse Gas Fluxes from Soils and Ecosystems (AMAGS)

    Department of Geoscience and Natural Resource Management

    Aim and contentIt is critical for environmental scientists to quantify the major sources and sinks of the most important greenhouse gases (GHGs), CO2, CH4 and N2O, as well as to disentangle the processes involved in GHG production and consumption in terrestrial ecosystems. Such data and knowledge are essential for the development of national and international […]

  • From Point to Pixel: A Toolbox for Spatial Analysis and Mapping in Environmental Science

    Department of Geoscience and Natural Resource Management

    Aim and contentThis PhD course, "From Point to Pixel," is designed to equip students with the essential tools and skills needed to transform ground truth sample data into high-resolution pixel-level estimates, which can then be aggregated into comprehensive maps. The primary goal of the course is to provide students with the expertise necessary to quantify […]

  • Multivariate Data Analysis – 2.5 ECTS – 2024

    Aim and contentIn industry and research huge amounts of physical, chemical, sensory and other quality measurements are produced on all sorts of materials, processes and products. Exploratory data analysis / chemometrics offers a tool for extracting the optimal information from these data sets through the use of digitalization (modern software and computer technology).The course will […]

  • Python for SCIENCE

    ContentThis course is an official Toolbox course at SCIENCE-UCPH and a generic course under the Danish PhD regulations. The course introduces the dominant programming language in data science, Python. Python is a general-purpose programming language that is currently being used in many active data science projects with open-source libraries available.The workshop will teach the basic […]

  • Fundamentals of the PhD education at SCIENCE – module 2- K3

    Aim and contentThe purpose of the module is to introduce the students into Data Science, Data Management, and Career Management:• Many students will apply/develop Data Science methods (data analysis, statistics, and machine learning) directly in their own research; and all students should be aware of this potential. • Some students will directly apply Data Management […]

  • International School of Chemometrics 2025 – PROGRAMMING

    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 […]

  • Machine Learning for SCIENCE (MLS)

    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 […]

  • Estimating Causal Effects with Observational Data

    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 […]

  • PhD Toolbox Course: Estimating Causal Effects with Observational Data

    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 […]

  • International School of Chemometrics 2025 – DL -Non-Linear Modeling/Deep Learning

    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 […]

  • International School of Chemometrics 2025 – Metabolomics

    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 […]

  • Introduction to Nutritional Metabolomics

    Department of Nutrition Exercise and Sports

    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 […]

  • Quantitative Sustainability Assessment

    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 […]

  • Methods for Statistical Evaluation of AI

    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 […]

  • Applied High Performance Computing

    Aim and content This is a toolbox course where 80% of the seats are reserved to PhD students enrolled at the Faculty of SCIENCE at UCPH and 20% og the seats are reserved to PhD students from other Danish Universities/faculties (except CBS). Anyone can apply for the course, but if you are not a PhD […]

  • Statistical methods for SCIENCE (SmS)

    Department of Mathematical Sciences Universitetsparken 5

    Content Toolbox course on statistical methodology with focus on choice of statistical models, practical implementation using statistical software, and presentation and interpretation of results. For the practical implementation, we use the state-of-the approach for data analysis in R including data wrangling and visualization via the tidyverse package. The course covers the most common statistical models […]