(in Polish) Advanced Data Exploration Methods - Dimension Reduction, Exploratory Factor Analysis and Clustering Analysis 2500-PL-PS-SP15-14

Students who successfully complete this course will be able to:
 Understand the latent variable measurement problems that can and cannot be addressed using factor analysis
 Determine which technique is appropriate for different problems, based on the goals of the research.
 Explore multivariate data using visualization techniques (including multi-dimensional scaling) to illuminate the structure in the data.
 For clustering problems, be able to choose a suitable metric and technique, depending on the goals of the research, as well as be aware of the strengths and limitations of the various approaches.
 For data structure problems, be able to select appropriate method, construct model, run analysis, interpret and report results.

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

• Description of 2500-PL-PS-SP15-14 in USOSweb