Basic R-Course in the Life Sciences

In this course you will learn to use R and Rstudio for doing statistical analysis. You will get to know the most important statistical methods, you will learn how to choose the right method for different situations and use R and Rstudio for analyzing example data with these methods. 

 The course will cover the following main topics:

•Introduction to R and Rstudio
•General introduction to statistics
•Descriptive statistics and graphics
•Normal distribution
•Significance tests
•Investigation of dependencies and differences
•Post-Hoc-Tests
•Factorial ANOVAs
•Linear and logistic regression

 After the course you will

•have lost the fear of using R, 
•have learned the basic function of R,
•know how to import and export raw data in R,
•be able to create a descriptive and graphical overview of a data set,
•be able to choose the appropriate significance test or statistical model for an available data set and research question,
•be able to conduct this analysis in R and interpret the results.

The course is organized with self-learning material (short videos, handout, example data and exercises) and three live and online Q&A sessions. After a short kick-off meeting you watch the videos and do the exercises at your own pace. Within an interval of one week we meet for three Q&A sessions online, where you can ask questions concerning the topics and exercises of the course or your own projects.