Applied Statistics and Data Analysis (TUM School of Computation, Information and Technology [CIT] and TUM School of Life Sciences [SoLS])

What it is about

You learn to analyze data from the life sciences statistically and to process it with R. The module covers data visualization, association methods for categorical data, analysis of variance, experimental design, and various regression methods up to linear mixed-effects models for longitudinal data. In the end you can select appropriate statistical methods, apply them in R, and interpret results.

What you will be able to do

• Experience in all facets of the R package
• Data preparation, visualization and communication
• Selection and application of suitable statistical methods for experimental design and analysis
• Application of hypothesis tests and confidence intervals
• Conducting multiple regression analyses (continuous, discrete, binary)

What the module consists of

• VorlesungIntroduction and discussion of concepts using case studies
• ÜbungIndependent problem solving and case studies in R for practical deepening

Teaching method

• VorlesungConcepts are introduced and discussed using case studies
• Übungsbetrieb mit RGuided, practical exercises to acquire the necessary skills for projects