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Data analysis for diploma thesis
| Language of instruction | 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. |
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.
Used software: R.
Literature
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.
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.