151-0360/02 – Data analysis for diploma thesis (ADDP)

Gurantor department	Department of Mathematical Methods in Economics	Credits	4
Subject guarantor	RNDr. Marek Pomp, Ph.D.	Subject version guarantor	RNDr. Marek Pomp, Ph.D.
Study level	undergraduate or graduate	Requirement	Compulsory
Year	1	Semester	winter
		Study language	Czech
Year of introduction	2019/2020	Year of cancellation
Intended for the faculties	EKF	Intended for study types	Follow-up Master

Instruction secured by
Login	Name	Tuitor	Teacher giving lectures
FRI02	doc. Ing. Václav Friedrich, Ph.D.
FUN01	Mgr. Taťána Funioková, Ph.D.
POM68	RNDr. Marek Pomp, Ph.D.
SED02	doc. Ing. Petr Seďa, Ph.D.

Extent of instruction for forms of study
Form of study	Way of compl.	Extent
Full-time	Credit	1+2

Subject aims expressed by acquired skills and competences

Students will be able to create and modify datasets in SPSS or Excel, analyse them, interpret and present outcomes.

Teaching methods

Lectures
Tutorials
Other activities

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.

Compulsory 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.

Recommended 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.

Additional study materials

Study supports in the EduDocs system

Way of continuous check of knowledge in the course of semester

Practical excercises.

E-learning

Other requirements

Like all the other students.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Design of research - sample methods, research hypothesis, sample size. 2. Data collections, creating a data file and entering data in SPSS, describing data sets, missing data, modyfying a data file, transforming variables. 3. Descriptive statistics, exploratory analysis, tables, graphs. 4. Principle of table and graphs creating with respect to their presentation. 5. Hypothesis testing on probability distribution. 6. Tests of independence of nominal variables. 7. Tests of independence of continuous variable, correlation, regression. 8. Comparing groups, independent samples, paired samples. 9. One-sided dependence, logistic regression. 10. Output processing, pivoting tables, editing charts and graphs, exporting of outputs to another programs.

Conditions for subject completion

Full-time form (validity from: 2019/2020 Winter semester)

Task name	Type of task	Max. number of points (act. for subtasks)	Min. number of points	Max. počet pokusů
Credit	Credit			3
Samostatná práce	Other task type			2

Mandatory attendence participation: tutorial 100 %.

Show history

Conditions for subject completion and attendance at the exercises within ISP: 50 %.

Show history

Occurrence in study plans

Academic year	Programme	Branch/spec.	Form	Study language	Tut. centre	Year	Type of duty
2024/2025	(N0413A050014) Economics and Management	(S03) Economics and Law in Business	P	Czech	Ostrava	2	Choice-compulsory type B	study plan
2024/2025	(N0413A050014) Economics and Management	(S01) Business Administration	P	Czech	Ostrava	2	Choice-compulsory type B	study plan
2024/2025	(N0414A050001) Marketing and Business		P	Czech	Ostrava	2	Choice-compulsory type B	study plan
2024/2025	(N0488A050004) Finance and Accounting	(S02) Accounting and Taxes	P	Czech	Ostrava	2	Compulsory	study plan
2023/2024	(N0414A050001) Marketing and Business		P	Czech	Ostrava	2	Choice-compulsory type B	study plan
2022/2023	(N0488A050004) Finance and Accounting	(S02) Accounting and Taxes	P	Czech	Ostrava	1	Compulsory	study plan
2021/2022	(N0488A050004) Finance and Accounting	(S02) Accounting and Taxes	P	Czech	Ostrava	1	Compulsory	study plan
2020/2021	(N0488A050004) Finance and Accounting	(S02) Accounting and Taxes	P	Czech	Ostrava	1	Compulsory	study plan
2019/2020	(N0488A050004) Finance and Accounting	(S02) Accounting and Taxes	P	Czech	Ostrava	1	Compulsory	study plan

Occurrence in special blocks

Block name	Academic year	Form of study	Study language	Year	W	S	Type of block	Block owner
Subject block without study plan - EKF - P - cs	2023/2024	Full-time	Czech				Optional	EKF - Faculty of Economics	stu. block

Assessment of instruction