After successful completion of the course, students are able to

• understand theoretical and practical concepts of important exploratory data analysis techniques
• understand the strengths and weaknesses of the different statistical methods and tools

sampling design, statistical sampling design, elements of exploratory data analysis,

basics of parametric, non-parametric and robust procedures, linear models,

introduction to multivariate statistical methods, introduction to time series analysis

Examples with data, software environment R

Please, register via TISS!

There are computer exercises, and the material is available in TUWEL.
Your registration data are taken directly from TISS.

 Due to the COVID infection situation, there may be changes in the holding mode.

Solving examples in R, oral exam