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
- Required initial education: .
Course contents, lectures, lecturers
- Participation: Prezenční
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 |
Are you hesitating?
Do you have a question?
Are you interested in the content and conditions of the course: Multivariate Statistical Analysis in R? Ask us:
Mgr. et Mgr. Tereza Kunešová
| phone: | +420 549 49 5209 |
|---|---|
| e‑mail: |
Similar courses
Check out other courses with a similar focus: