Vorlesung/Übung: Statistical Data Analysis with R (M2) (20658)

SS 2026
21.09.2026-25.09.2026 (mehrtägig), tbc; 28.09.2026-02.10.2026 (mehrtägig), S 56 (PC-Pool, RW I)

Lisa Hülsmann

Lecture/Exercise, 3 ETCS

Dates: from 21 to 25 September 2026, 10 am to noon, in (room tbc) and from 28 September to 02 October 2026, 10 am to noon, in S 56 (PC-Pool, RW I)

Learning Objectives: In this course, the participants will learn and practice different methods of data analysis using the programming language R, which is the de facto standard for statistical data analysis. They will be enabled to understand basic concepts of statistics, to choose appropriate statistical methods to answer common ecological questions, to apply these methods in R and to interpret the results correctly.

Course Content: Topics covered in the course include using R and RStudio, descriptive statistics and visualization, hypothesis testing, linear models, generalized linear Models, mixed models, confounders, causality and Directed Acyclic Graphs (DAGs), data management and experimental design.