[ 971MECOPDVK18 ] KS KS Programming, Data Management and Visualization
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| Es ist eine neuere Version 2019W dieser LV im Curriculum Master's programme Social Economics 2021W vorhanden. |
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| (*) Unfortunately this information is not available in english. |
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| 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 |
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| Detailed information |
| Pre-requisites |
(*)Zulassung zum MA Studium
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| 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).
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| Subject |
Programming of functions and unique statistical methods; merging and preparing big data sets; cleaning and analysis of data.
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| Criteria for evaluation |
Regular home work assignments
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| Methods |
Lecture by instructor and discussion of home work assignments by students
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| 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.
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| Changing subject? |
No |
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| On-site course |
| Maximum number of participants |
200 |
| Assignment procedure |
Assignment according to priority |
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