Data Analysis and Visualization
Classification
NPW-001
Responsible
Prof. Dr. Heiko Schoof
Lecturers
Dr. Hubert Hüging; Dr. Beate Doerffel; Florian Boecker; Gunther Krauss; Prof. Dr. Heiko Schoof; Dr. Thomas Gaiser
Contents
Introduction to planning of field experiments and their analysis (Feldversuchswesen). Introduction to statistics and to statistical software „R“: exploratory data analysis and visualization of data, hypothesis testing, analysis of variance, regression. Introduction to research data management. Introduction to system analysis and modeling.
After a successful completion of the course, the students
- can generate and interpret box piots, histograms, scatter plots.
- can perform and interpret basic hypothesis tests, ANOVA and linear regression.
Time & Location
see Basis
Materials
see E-Campus