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[ 551DATADSSP19 ] PR Data Analysis with Statistical Software
Versionsauswahl
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
4 ECTS B2 - Bachelor's programme 2. year Statistics Markus Hainy 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)keine
Original study plan Bachelor's programme Statistics and Data Science 2023W
Objectives Advanced use and extension of the statistical software environment R.
Subject Different aspects of the language S and its dialect R, advanced graphics; organizing tidy data effectively using the tidyverse; statistical modeling using linear models; introduction to literate programming.
Criteria for evaluation Home work assignments and written project report
Methods Lecture by instructor; Discussion of the homework assignments by the students; Independent programming of statistical analysis methods
Language German
Study material Ligges, U. (2009) Programmieren mit R, Springer, Berlin / Heidelberg, 3. Auflage.

Wickham, H, Grolemund, G. (2016) R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. O’Reilly.

Supplementary reading will be announced each semester.

Changing subject? No
Corresponding lecture (*)4MSSS2PR: PR Statistische Simulationen II (4 ECTS) und 551STSOSIMU14: Statistische Simulationen (4 ECTS)
On-site course
Maximum number of participants 20
Assignment procedure Assignment according to priority