Inhalt

[ 971MECOPDVK18 ] KS KS Programming, Data Management and Visualization

Versionsauswahl
Es ist eine neuere Version 2019W dieser LV im Curriculum Master's programme Social Economics 2019W vorhanden.
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
4 ECTS M1 - Master's programme 1. year Economics Alexander Ahammer 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)Zulassung zum MA Studium
Original study plan Master's programme Economics 2018W
Objectives Students learn advanced programming in statistical software (R and STATA), as well as management and visualization of big data (e.g., administrative data).
Subject Programming of functions and unique statistical methods; merging and preparing big data sets; cleaning and analysis of data.
Criteria for evaluation Regular home work assignments
Methods Lecture by instructor and discussion of home work assignments by students
Language English
Study material Wickham, H. and Grolemund, G. (2017), R for Data Science, O’Reilley. Matloff, N. (2011), The Art of R Programming, No Starch Press Further references will be announced in the first lecture.
Changing subject? No
On-site course
Maximum number of participants 200
Assignment procedure Assignment according to priority