Palacký University Olomouc
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for academic year 2024/2025
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Course: Data Analysis for Science and Research

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Course title Data Analysis for Science and Research
Course code KSA/ADVV
Organizational form of instruction Lecture + Seminary
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 6
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Lysek Jakub, Mgr. et Mgr. Ph.D.
Course content
unspecified

Learning activities and teaching methods
Lecture, Dialogic Lecture (Discussion, Dialog, Brainstorming)
Learning outcomes
Prerequisites
unspecified

Assessment methods and criteria
Seminar Work

Recommended literature
  • Gelman, A., Hill, J. Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge: Cambridge University Press, 2007.
  • Greene, W. H. Econometric Analysis. London: Pearson Education Limited, 2014.
  • Hamilton, L. C. Statistics with STATA: Version 12, 8th edition. Boston: Cengage, 2013.
  • J.M. Wooldridge. (2015). Introductory Econometrics: A Modern Approach (6th edition).. Cengage Learning, Boston.
  • Mareš, P., L. Rabušic, P. Soukup. (2015). Analýza sociálněvědních dat (nejen) v SPSS. Brno: Masarykova univerzita.
  • Wickham, H., Grolemund, G. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (1st. ed.). O?Reilly Media, Inc, 2019.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Arts Study plan (Version): Science management (2020) Category: Economy 1 Recommended year of study:1, Recommended semester: Summer
Palacký University Olomouc, date of update: 30.04.2025 23:58. Data created for academic year 2024/2025