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Get acquainted with the R programming language in one day and discover how to import, edit and analyse data. Ideal for beginners at UU who want to get started with data quickly.

📅 Duration: 1 day | 🎓 For: UU participants | 💶 Free | More information

In this short workshop, you will learn how to manage research data safely and efficiently with Yoda, the UU's data platform, in just two hours.

📅 Duration: 2 hours | 🎓 For: UU students and staff | 💶 Free | More information

Discover the power of Python in this accessible one-day workshop. You will learn the basics of programming in an academic context.

📅 Duration: 1 day | 🎓 For: UU participants | 💶 Free | More information

Learn how to write code that is reproducible and meets scientific standards in two mornings. For those who already have programming experience.

📅 Duration: 2 mornings | 🎓 For: UU participants with programming knowledge | 💶 Free | More information

In just three hours, you will discover how to write reproducible articles using R or Python. Ideal for researchers who want to publish transparently.

📅 Duration: 3 hours | 🎓 For: UU participants with knowledge of R and Python | 💶 Free | More information

Learn how to work in virtual research environments in 1.5 hours. Perfect for anyone who wants to streamline their work with modern tools.

📅 Duration: 1.5 hours | 🎓 For: UU students and staff | 💶 Free | More information

This online course teaches you how to build structural comparison models using the R package “lavaan”. Perfect for students and researchers who want to create their own models.

📅 Duration: online | 🎓 For: master's students, PhD students and professionals | 💶 €770 |

Immerse yourself in machine learning algorithms with Python. In five days, you will learn how to build, train and apply models to real datasets.

📅 Duration: 5 days | 🎓 For: academics and professionals | 💶 €895 |

Discover how network analysis works and what it can mean for your research. You will learn to visualise, analyse and interpret using Python tools.

📅 Duration: 5 days | 🎓 For: those with an interest in technology | 💶 €895 |

Learn the basics of SEM in Mplus in one day. This course provides an overview of the modelling process, ideal for novice researchers.

📅 Duration: 1 day (online) | 🎓 For: research master's students, PhDs | 💶 €155 |

Build a solid foundation in Python for data science. From data structures to visualisations – everything is covered in this intensive course.

📅 Duration: 5 days | 🎓 For: academics and professionals | 💶 €895 |

Learn how to perform statistical analyses with R. The focus is on scripting, visualisation and reproducible workflows.

📅 Duration: 5 days | 🎓 For: researchers with statistical knowledge | 💶 5985 |

Discover how to analyse text data with Python. From basic preprocessing to advanced applications such as sentiment analysis and topic modelling.

📅 Duration: 5 days | 🎓 For: participants with Python experience | 💶 €895 |

In this course, you will learn how to model time-dependent data with Mplus. Aimed at advanced users conducting longitudinal research.

📅 Duration: 5 days | 🎓 For: (postdoc) researchers with Mplus experience | 💶 €895 |

Get to know SEM in Mplus. You will learn step by step how to build, evaluate and apply models to your own data.

📅 Duration: 5 days | 🎓 For: PhDs and research master's students | 💶 €895 |