Methodology & Statistics Summer School Courses 2022 at the UU

We are happy to present to you the list of Summer school courses offered by the Department of Methods & Statistics of Utrecht University in collaboration with Utrecht Summer School 2022.

Here, you can subscribe for the postgraduate courses of M&S Utrecht University (or check out our flyer: Data Science 2022 aanbod).

If you have any questions, please send an email to: ms.summerschool@uu.nl

Courses offered this summer:

Introduction to Structural Equation Modeling using lavaan online only; In this e-learning course, we will go over the basics of structural equation modeling using lavaan. The course will run for two weeks and delivers five full days of content.
04 July – 15 July 2022. (course code: S65)

Introduction to Structural Equation Modeling using Mplus; a 5-day course providing the basics of SEM and hands-on experience with Mplus.
04 July – 08 July 2022. (course code: S20)

Data Science: Statistical programming with R; a 5-day beginners course in doing statistical analyses with R.
04 July – 08 July 2022. (course code: S24)

Introduction to multilevel analysis; a 3-day course on the basics of multilevel modelling, offering hands-on experience with HLM.
06 July –  8 July 2022. (course code: S14)

Advanced Multilevel Analysis; a 3-day course on advanced topics in multilevel modelling.
11 July – 13 July 2022. (Course code: S05)

Data Science: Multiple imputation in practice; a 4-day course on how to appropriately handle missing data using a modern and flexible imputation technique.
11 July – 14 July 2022. (course code: S28)

Data Science: Introduction to Text Mining with R;  a 4-days course. The course teaches the necessary skills to understand how basic text mining techniques work, and how to use R for a variety of text analysis in many domains of science.
11 July- 14 July 2022 (course code: S41 )

Advanced course on using Mplus; a 5-day course for the more experienced Mplus user with a special focus on longitudinal modeling.
11 July – 15 July 2022. (course code: S23)
Data Science: Programming with Python;  a 5-day course on computational thinking about data-related problems and the implementation of data analysis with Python.
18 July – 22 July 2022. (course code: S17)

Data Science: Data analysis; a 5-day course offering hands-on experience with applying data analysis and visualization techniques, both venerable and novel, using R.
18 July – 22 July 2022. (course code: S31)

Netwerk Science; a 5-day course introducing concepts and tools in network science.
18 July – 22 July 2022. (course code: S37)

Data Science: Applied Text Mining;  a 5-days course. The course teaches the basic and advanced text mining techniques using Python on a variety of applications in many domains of science.
25 July – 29 July 2022 (course code: S42)

Applied multivariate analysis; a 10-day course offering hands-on experience with SPSS for the most frequently encountered multivariate statistical techniques.
15 August – 26 August 2022. (course code: S04)

Modeling the dynamics of intensive longitudinal data; a 4-day course on diverse statistical techniques and their theoretical foundations for the study of dynamics in intensive longitudinal data.
15 August – 18 August, 2022 (course code: S36)

Survey research: Design, implementation, and data processing; a 5-day course covering the essentials of survey methodology and analysis.
15 August – 19 August, 2022 (course code: S15)

Survey research: Statistical analysis and estimation; a 5-day in-depth course on total survey error (i.e., coverage, sampling, nonresponse, and measurement error).
22 August – 26 August 2022. (course code: S16)

A Gentle Introduction to Bayesian Statistics; a 5-day course introducing Bayesian estimation outlining the WAMBS-checklist, approximate measurement invariance, and Bayes Factors .
22 August – 26 August 2022. (course code: S18)

AI-Aided Systematic Reviewing  online only; a 5-day course on speeding up your systematic review with the open source and free software ASReview
29 August –  02 September 2022. (course code: S12)