Data Science Courses

HIDA’s data science courses provide practical training in key methods for modern, data-driven research, including data analysis, programming, and artificial intelligence.

The program combines flexible individual courses with thematically structured course clusters, allowing participants to develop competencies step by step or focus on specific topics relevant to their work.

Our courses are primarily designed for researchers at different career stages. They offer the opportunity to systematically build or deepen essential skills for data-driven and data-intensive research.

The program is organized into four thematic clusters and includes both standalone courses and formats that can be combined depending on individual learning goals. All courses are conducted online and offered throughout the year, making it easy to integrate them alongside research and professional commitments.

Four Thematic Clusters for Data Science Training

The courses are structured into four thematic clusters that cover different aspects of Data Science and support the development of both foundational and advanced competencies in this field. The courses combine conceptual understanding with practical, application-oriented approaches.

All courses are held online and available throughout the year, enabling flexible participation alongside ongoing research and professional commitments. Within each thematic cluster, courses are listed with links to detailed information on content, learning objectives, prerequisites, and registration.

Programming

Develop strong programming skills for data-driven research. Learn how to translate scientific questions into efficient code, process data, automate analyses, and create reproducible workflows—with courses in MATLAB, Python, and R.

The following courses are available free of charge:

Programming mit MATLAB

Kickstart MATLAB

Programming with Python

Kickstart Python

First Steps in Python

Object-Oriented Programming

Data Processing with Pandas and Visualization with Matplotlib

Programming with R

Statistics

Strengthen your expertise in statistical modeling and data analysis. Learn to apply fundamental and multivariate methods as well as mixed models to analyze complex research data in depth.

The following courses are available free of charge:

Introduction to Statistics

Multivarate Statistics

Mixed Models

AI

Harness the power of modern AI methods. Learn to understand, apply, and further develop key techniques in machine learning and deep learning.

The following courses are available free of charge:

Kickstart Deep Learning

Basic Methods of Machine Learning

Advanced Methods of Machine Learning

Data Practices

Take your digital workflows to the next level. Learn to work efficiently with the shell and Git, manage projects with version control, and visualize data clearly, effectively, and convincingly.

The following courses are available free of charge:

Kickstart Shell & Git

Principles of Data Visualization

The Data Science Course Portfolio

Our courses are part of a broader thematic framework and closely linked to additional training activities in Information and Data Science.

A comprehensive overview of the full training offer can be found in the Data Science Course Portfolio, which is jointly organized by the five Information & Data Science platforms of the Helmholtz Association.

Learn more!