Program 2017

Introduction to R

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.

Introduction to R: 16.-17. February and 7.-8. September

Special: Introduction to R for the Life Sciences - An R4All Course Series

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

Statistical data analysis with R

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

Programming with R

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

In-house courses

Many of our courses can also be offered in-house at your location. Moreover, we can help you find lecturers for R courses on other topics.
If you are interested please contact us at: zhRcourses@psychologie.uzh.ch