Basic R-Course in the Life Sciences

Basic R-Course Kick-Off15.01.2024 11:00 - 11:30 (Mo)OnlineDaniela Keller
Basic R-Course Q&A122.01.2024 11:00 - 12:30 (Mo)OnlineDaniela Keller
Basic R-Course Q&A229.01.2024 11:00 - 12:30 (Mo)OnlineDaniela Keller
Basic R-Course Q&A305.02.2024 11:00 - 12:30 (Mo)OnlineDaniela Keller
Statistics, R und RStudio, Data Analysis, Significance Tests, Graphics
Beschreibung Kursinhalt: 

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.

  • losing the fear of using R
  • learning the basic functionality of R
  • knowing how to handle data in R
  • being able to create a descriptive and graphical overview of a data set
  • being able to choose the appropriate significance test or statistical model
  • be able to conduct statistical analysis in R and interpret the results

Presentation of statistical background, Software tutorials, Examples, Exercises for self study, Q&A sessions, Quiz

Der Kurs ist für Promovierende in folgender Phase geeignet: 

☒ Beginn der Promotion / Beginning of the doctorate
☒ Während der Promotion / During the doctorate
☒ Endphase der Promotion / End of the doctorate

Technische Voraussetzungen: 

PC, laptop with R and RStudio installed (open source); internet access

Sonstige Informationen: 

Flipped classroom format. Participants must allow time for independent viewing of the videos and the exercises.

Fachspezifische Veranstaltung
Art der Veranstaltung: 
Graduate Center of Life Sciences
Verantwortung für Veranstaltung: 
Maximale Teilnehmer*innenzahl: 
Minimale Teilnehmer*innenzahl: 
Umfang in Stunden: 
Daniela Keller

I support students, doctoral candidates and researchers in understanding statistics and applying it correctly to their project. I explain complex relationships in an easy-to-understand and application-oriented way.