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Courses of this category are aimed at R beginners who have basic knowledge in statistics. They provide an introduction to the application of R in an understandable and practically oriented manner.
Courses of this category are aimed at R beginners particularly from the life sciences. They provide an introduction to the application of R in an understandable and practically oriented manner and are specifically tailored to the needs and prerequisites of the life sciences.
R4All: An introduction to the basics of R: 15.-16. June
R4All: Building on the basics of R: 14.-15. September
Courses of this category are aimed at users who have basic knowledge in statistics and have used R before. They cover a general introduction as well as the practical application of particular statistical methods in R.
Missing Value Imputation: 23.-24. February
Introduction to classification and regression trees, random forests and model-based recursive partitioning in R: 15.-16. May
Data Processing, Visualisation and Reporting with R: 1.-2. June
Courses of this category are aimed at advanced R users and provide special knowledge, ranging from basic programming commands to building your own R packages.
Higher-Performance R Programming with C++ Extensions: 28.-29. June
