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Zürcher R Kurse
Was ist R?
Programm 2025
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Frühere Kurse
Programm 2024
R4All: An introduction to the basics of R
Introduction to R
Good Software Engineering Practice for R Packages
Programm 2023
Introduction to R
R4All: An introduction to the basics of R
Programming in R (advanced)
Programm 2022
Introduction to R
R4All: An introduction to the basics of R
Creating web applications in R using Shiny
R-INLA: Bayesian inference for latent Gaussian models
Multilevel Modeling in R: First steps
Reproducible reporting and dynamic documents
Questionnaires: From creation to evaluation
Standard and Advanced Methods for Meta-Analysis with R
Programm 2021
Einführung in R
R4All: An introduction to the basics of R
Questionnaires: From creation to evaluation
Introduction to programming in R
Advanced programming in R
Anonymization of personal data with applications in R
Machine Learning using R
Programm 2020
Einführung in R
Dealing With Missing Values in R
Bayesian Analysis using Rstan
Data Processing, Visualisation and Reporting with R
Questionnaires: from Creation to Evaluation
Introduction to Deep Learning with Keras for R
Anonymization of personal data with applications in R
Programm 2019
Einführung in R
Datenaufbereitung, Visualisierung und Reportgenerierung mit R
Datenaufbereitung, Visualisierung und Reportgenerierung mit R
Structural equation modeling with lavaan
R4All: An introduction to the basics of R
Programmieren im tidyverse
Graphics in R using the lattice-package
Relational Databases and R
Transformation Analysis in R
Programm 2018
Einführung in R
Datenaufbereitung, Visualisierung und Reportgenerierung mit R
Datenaufbereitung, Visualisierung und Reportgenerierung mit R
R4All: An introduction to the basics of R
Mixed (hierachical) Models in R
Categorical Data Analysis with R
Introduction to R programming
Shiny and Interactive Visualisation in R
R4All: Building on the basics of R
Bayesian inference using R-INLA
Programm 2017
Einführung in R
R4All: An introduction to the basics of R
R4All: Building on the basics of R
Missing Value Imputation
Introduction to classification and regression trees, random forests and model-based recursive partitioning in R
Datenaufbereitung, Visualisierung und Reportgenerierung mit R
Higher-Performance R Programming with C++ Extensions
Programm 2016
Einführung in R
R4All: An introduction to the basics of R
R4All: Building on the basics of R
Generalised Additive Models
Introduction to Bayesian modelling with JAGS
Bayesian Statistics with R-INLA
Meta-Analysis
Graphical Models and Bayesian Networks with R
R programming
Programm 2015
Einführung in die Datenanalyse mit R
Applied Uni- and Multidimensional IRT Analysis in R
Introduction to R graphics
Introduction to Generalized Nonlinear Models
Introduction to mixed models in R
Interactive graphic with ggvis
Structural equation modeling with lavaan
Introduction to R programming
Higher-Performance R Programming via C++ Extensions
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