Data Science 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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Today

Data Science Methods for Disordered Materials

Aalborg University, Aalborg Fredrik Bajers Vej 7K, Aalborg, Denmark

Disordered materials, such as inorganic glasses, polymer glasses, cement hydrates, amorphous membrane, metal-organic framework glasses, and gels, are critical to our sustainable future. Their design has traditionally been done using the time-consuming and inefficient “trial-and-error” approach. However, new approaches relying on artificial intelligence, machine learning, and topological data analysis offer opportunities for accelerating the discovery […]

Open Neurophysiology – analysis tools and datasets

Copenhagen København, Denmark

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 […]

Crash Course on Functional Data Analysis and Machine Learning of Complex Data: Techniques and Applications

DTU Building 303A aud. 42, DTU Lyngby Campus, Lyngby, Denmark

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 […]

kr.1500

Introduction to omics for clinical researchers Part 2

Copenhagen København, Denmark

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 […]

Introduction to Machine Learning for Health Research

Aarhus University Aarhus C

This course will provide students with broad exposure to the elements of machine learning and its practical applications within epidemiologic research and practice. The course will combine didactic lectures with group discussions and programming exercises to ensure a balance of substantive knowledge and practical skills. Through this approach, students will learn to apply critical thinking […]

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

Copenhagen København, Denmark

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 […]

Principles of Data Visualisation and storytelling (2024)

Aalborg University TBA Aalborg

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 […]

Basic Introduction to “R” (14-15/5 2024)

SDU, Odense Campusvej 55

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. […]