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Faculty of Biology, Chemistry and Earth Sciences

Graduate Program (M.Sc.) - Global Change Ecology

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Lecture/Exercise course: Statistical Data Analysis with R (M2) (20658)

SS 2023
2023-08-21-2023-09-01 (several days), tba

Lisa Hülsmann

Lecture/Exercise, 3 ETCS

Dates: from 21 August to 01 September, 2023, from 10:00 to 12:00, online (Live)

Learning Objectives: In this course, the participants will learn and practice different methods of data analysis. Also, participants will consolidate their use of 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.

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