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Data analysis for diploma thesis

Summary

The aim of the subject is to acquaint students with tools of software R for analysis both numeric and non-numeric data. The choise of methods is oriented to data processing from marketing and sociological research needed for master's thesis. The subject is based on knowledge from the subject Statistika A and Statisitka B.
Used software: R.

Literature

NEWBOLD, Paul; CARLSON, William Lee a THORNE, Betty. Statistics for business and economics. 8th ed., global ed. Always learning. Harlow: Pearson Education, c2013. ISBN 978-0-273-76706-0.

MARTIN, Vance; HURN, Stan a HARRIS, David. Econometric modelling with time series: specification, estimation and testing. Themes in modern econometrics. New York: Cambridge University Press, 2013. ISBN 978-0-521-19660-4.

WOOLDRIDGE, Jeffrey M. Introductory econometrics: a modern approach. 4th ed. Mason: South-Western Cengage Learning, c2009. ISBN 978-0-324-66054-8.

Advised literature

Hodeghatta, Umesh R, and Nayak, Umesha. Business Analytics Using R - A Practical Approach. Apress, 2016.

GANDRUD, Christopher. Reproducible research with R and RStudio. Second edition. Chapman & Hall/CRC the R series. Boca Raton: CRC Press, Taylor & Francis Group, [2015]. ISBN 978-1-4987-1537-9 .

XIE, Yihui. Dynamic documents with R and knitr. Second edition. Chapman & Hall/CRC the R series. Boca Raton: CRC Press, Taylor & Francis, [2016]. ISBN 978-1-4987-1696-3 .


Language of instruction čeština, čeština
Code 151-0360
Abbreviation ADDP
Course title Data analysis for diploma thesis
Coordinating department Department of Mathematical Methods in Economics
Course coordinator RNDr. Marek Pomp, Ph.D.