After successful completion of the course, students are able to

• mathematically formulate and apply dimension reduction techniques and methods for linear regression and classification,
• demonstrate and assess the strengths and weaknesses of the different statistical methods and tools,
• compute examples using the software environment "R".

Methods like principal component analysis, factor analysis, discriminant analysis and cluster analysis will be explained.

Examples with data, software environment R

Solving examples in R