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Lecturer(s)
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Svoboda Milan, Ing. Mgr. Ph.D.
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Gangur Mikuláš, Doc. RNDr. Ph.D.
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Course content
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- Data acquisition methods - Data matrix - Examining data quality - Multivariate data analysis - Principal component analysis - Factor analysis - Multiple regression - Logistic regression - Discriminant analysis - Classification trees - Economic time series
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Learning activities and teaching methods
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- Preparation for comprehensive test (10-40)
- 46 hours per semester
- Preparation for an examination (30-60)
- 58 hours per semester
- Contact hours
- 52 hours per semester
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| prerequisite |
|---|
| Knowledge |
|---|
| Choose the appropriate statistical method for a given task at the level of subjects (KEM/STA and KEM/STZD) |
| Skills |
|---|
| To solve the statistical task at the level of subjects (KEM/STA and KEM/STZD) |
| Competences |
|---|
| N/A |
| learning outcomes |
|---|
| Knowledge |
|---|
| explain selected methods of multivariate statistical analysis of economic data |
| explain the essence of multivariate data analysis methods |
| Skills |
|---|
| Choose a suitable data analysis method |
| Analyze data using statistical SW |
| Competences |
|---|
| N/A |
| teaching methods |
|---|
| Knowledge |
|---|
| Lecture |
| Interactive lecture |
| Self-study of literature |
| Skills |
|---|
| Practicum |
| Individual study |
| Competences |
|---|
| Lecture |
| Interactive lecture |
| Practicum |
| Individual study |
| assessment methods |
|---|
| Knowledge |
|---|
| Practical exam |
| Skills demonstration during practicum |
| Test |
| Skills |
|---|
| Practical exam |
| Skills demonstration during practicum |
| Test |
| Competences |
|---|
| Practical exam |
| Skills demonstration during practicum |
| Test |
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Recommended literature
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Arlt, Josef; Arltová, Markéta. Ekonomické časové řady. Praha : Professional Publishing, 2009. ISBN 978-80-86946-85-6.
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HAIR, F. Joseph, BLACK, C. William, BABIN, J. Barry, ANDERSON E. Rolph. Multivariate Data Analysis. 7th edition. Prentice Hall, 2009. ISBN 13: 978-0138.
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Hebák, Petr. Statistické myšlení a nástroje analýzy dat. Vyd. 2. Praha : Informatorium, 2015. ISBN 9788073331184.
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Hindls, Richard. Statistika pro ekonomy. Vyd. 1. Professional Publishing, 2018. ISBN 978-80-88260-09.
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