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.

Solving examples in R, oral exam