Training in Research Data Management and Data Science


Starter Track

Schedule: January to May 2024

Registration: Open now


Data Steward

Schedule: June to December 2024

Registration: Open now


Data Stories

Next Data Story: 12 April 2024

"How to plan a wind farm? About the use of extensive open and confidential datasets in wind energy resource assessment”

Registration: Open now

(Schedule: ca. 3 Data Stories per year)

The Data Train Schedule

Operator Track 'Data Scientist'

Data science is concerned with extracting information and gaining knowledge from various types of data using computational analysis methods such as statistical techniques, artificial intelligence (e.g. machine learning) and data visualization. The Operator Track ‘Data Scientist’ consists of hands-on workshops where participants learn methods from mathematics, statistics and artificial intelligence (e.g. machine learning, deep learning) for data analysis and data visualization skills.

Schedule: June to December 2025

Registration: From April 2025 (open until two weeks before the respective course)

To the courses!

Image showing a key in a data space.
© matejmo / iStock

About Data Train

Learn more about the training program's concept.


Course Cataloque

Here you find all Data Train courses and events that are currently offered. Via this page you can register for the courses.


Get to know our team!

... the program speakers, our lecturers, collaborators and partners.

"Data is the currency of the 21st century.
We need to invest this currency better to manage and grow our wealth of knowledge."

Dr. Arjun Chennu, Data Train lecturer

Group Leader "Data Science and Technology", Leibniz Centre for tropical Marine Research

Finanziert durch die Europäische Union - NextGenerationEU. Die geäußerten Ansichten und Meinungen sind ausschließlich der Autor:innen und spiegeln nicht unbedingt die Ansichten der Europäischen Union oder der Europäischen Kommission wieder. Weder die Europäische Union noch die Europäische Kommission können für sie verantwortlich gemacht werden.