All Courses
On this page you can find all the courses and tracks offered by the Utrecht Summer School. Check the course pages for more detailed information.
6 course(s) found
Introduction to Python (online course)
If you are looking for a powerful programming language, you should learn Python, a language with a simple syntax and a powerful set of libraries. It is easy for beginners to learn Python and it is widely used in many scientific fields for data exploration. This online workshop is an introduction to the Python programming language and, in particular, is geared toward people who are new to the language and who have relatively little experience …
1
AI-Aided Systematic Reviewing (online course)
Online course
More and more researchers rely upon Systematic Reviews: attempts to synthesize the state of the art in a particular scientific field. However, the scientific output of the world doubles every nine years. In this tsunami of new knowledge, there is not enough time to read everything – resulting in costly, abandoned, or error-prone work. Using the latest methods from the field of Artificial Intelligence (AI), you can reduce the number of papers to…
1
Structural Equation Modeling in R using lavaan (E-Learning Course)
Online course
In this e-learning course, we will cover the basics of structural equation modeling (SEM) using the R package lavaan. Participants will learn how to interact with the lavaan software and how to run common types of structural equation models (e.g., path models, confirmatory factor analyses, latent regression models, multiple group models) using lavaan. No prior knowledge of lavaan is necessary, but some experience with R (although not strictly…
1
Modelling the Dynamics of Intensive Longitudinal Data (online course)
This online course covers how time series models can be used to model the dynamics of intensive longitudinal data (ILD). We focus on ILD from the behavioural sciences, typically collected using questionnaires with ambulatory assessments (AA), the experience sampling method (ESM), ecological momentary assessments (EMA), or daily diaries. We explain the basics of simple and more advanced modelling approaches, the philosophies behind them, and…
1
Text Analysis with Python (online course)
This online course introduces the basic concepts of text analysis in Python. In this course, participants will learn how to apply text mining methods on text data and analyse them in a pipeline with machine learning and natural language processing algorithms. The course has a strongly practical hands-on focus, and participants will gain experience in using text mining on real data.
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Data Science: Multiple Imputation in Practice (Hybrid)
Online course
This 4-day hybrid course by the MICE developers teaches you the basics in solving your own missing data problems appropriately. Participants will learn how to form imputation models, how to combine data sets, how to model non-response, how to use diagnostics to inspect the imputed values, how to obtain valid inference on incomplete data and how to avoid many of the pitfalls associated with real-life missing data problems. While there will be…
1