Survey Design

Course by European Consortium for Political Research on survey design and methodology covering the full survey lifecycle, including sampling, questionnaire design, measurement, survey experiments, and data quality assessment using a Total Survey Error framework. Focuses on evaluating and improving survey validity and reliability through real-world examples, best practices, and hands-on exercises.

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Introduction to Data Analytics in R

Introductory course by Maastricht University in data analytics using R and RStudio, focusing on basic programming, data management, analysis, and visualization for beginners with no coding background. Covers core R objects, control flow, and practical data handling through lectures and hands-on assignments in a condensed one-week format.

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Computational Statistics

Course by University of St. Gallen on computational statistics focused on data mining and modeling of large, high-dimensional datasets using modern statistical and machine learning methods. Covers regression, nonparametric models, trees, splines, additive models, neural networks, and resampling techniques like bootstrap and cross-validation. Emphasizes model building, evaluation, and handling challenges like the curse of dimensionality.

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Meta-analyses and Meta-studies: Research Synthesis and Generalizability

Course by University of St. Gallen on research synthesis methods, focusing on meta-analysis, meta-studies, and related techniques for estimating effect sizes, heterogeneity, and publication bias. Includes practical analysis in R and discussion of newer approaches like single-paper meta-analysis and designing studies for effect distribution.

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