Multivariate Statistical Analysis in R

Are you interested in multivariate statistical methods but don't know where to start? Join our course, where you will gain practical knowledge of key methods and tools for multivariate data analysis.

The course is conducted in English. Prior knowledge of R is an advantage but not required.

Course terms

The course is currently unavailable.

About course

What you will learn

What you will gain:

  • Basics of multivariate statistical methods
  • Hands-on experience with applying methods in R
  • Focus on interpreting results and their practical use

How to enrol

Enrolment requirements

Course contents, lectures, lecturers

Content:

  • Introduction to the R environment
  • Principal Component Analysis
  • Factor Analysis
  • Cluster Analysis
  • Discriminant Analysis
  • Higher-order ANOVA

Lecturers

doc. Mgr. Maria Králová, Ph.D.

Doc. Mgr. Maria Králová, Ph.D., completed her doctoral studies in Mathematics with a focus on statistical modelling at the Faculty of Science, Masaryk University, Brno, and was appointed as an Associate Professor in Business Economics and Management at the Faculty of Economics and Administration. Her research focuses on a broad spectrum of applied statistical methods, including multivariate methods, structural equation modelling, and causal analysis, serving as the foundation for scientific methodology. She is the founder of the Business Data Analytics study program. She actively collaborates with universities abroad on various projects and lectures at international summer schools regularly.

Course details

Provided by Faculty of Economics and Administration
Hours 40
Weeks 6

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