Would you like to know more about open-source statistical software or programming languages?
Join the 2024 Methods and Statistics Winter School Courses of Utrecht University!
The Department of Methodology and Statistics (M&S) of Utrecht University offers seven one-day, introductory courses regarding open-source statistical software programs and open-source programming languages. While learning about these programs and languages, you can enjoy the interaction with our experts.
In addition, M&S offers a new course: the 10-week e-learning course ‘Modelling the Dynamics of Intensive Longitudinal Data’.
Course overview
Below, you can find a list of our courses. You can also check them out via our website
Further information and registration
For further information and registration, please click on the name of the course below.
Contact
Do you have any questions? Feel free to send an email to ms.summerschool@uu.nl.
Hope to see you in winter!
On behalf of the M&S Winter & Summer School team,
Irma and Rebecca
M&S Winter School programme
Monday 29 January 2024
Tuesday 30 January 2024
Wednesday 31 January 2024
- Introduction to Python (online course)
- Missing Data in R
Thursday 1 February 2024
Friday 2 February 2024
- Text Analysis with Python (online course)
- Introduction to network inference and network learning in R: Markov random Fields and Bayesian Networks
March 11th to May 17th
- Modelling the Dynamics of Intensive Longitudinal Data (e-learning) New in 2024
This course integrates self-study through videos and exercises (using R and/or Mplus) with a weekly choice of either a 1-hour online Q&A session or a 2-hour practical session. Participants will dedicate approximately 4 hours per week to the course for a duration of 10 weeks.
Are you interested in a course in the summer?
We are presently developing our Summer School program for 2024. We will notify you once the program is ready for your review. In the meantime, you can access an overview of the Summer School courses that are already available for registration by clicking here.