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.