Course: Data Science in the Life Sciences

Qualification objectives

Students have acquired a deeper understanding of advanced concepts and data analysis methods in the area of life sciences. Based on their knowledge, they are able to evaluate and plan studies in the life sciences and use standard methods to perform them.

Content

• Introduction to various types of data in the life sciences (e.g. omics technologies), especially in the acquisition and pre-processing of data;
• exploratory analysis techniques for data from the life sciences;
• concepts and tools for reproducible research;
• theory and practice for methods and models for analysis of data from the life sciences (statistical inference, regression models, methods of machine learning);
• introduction to methods of big data analysis.