314080 Praktische Übung "Efficient Data Management in Stata" (S) (WiSe 2024/2025)

Short comment

Prerequisites: most beneficial for the students with prior experience in the statistical software, but can also be attended without it.
At the end of the course, participants should be able to perform a full procedure of data cleaning and preliminary analysis in STATA efficiently.

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Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Mi 12-14   07.10.2024-31.01.2025

Subject assignments

Module Course Requirements  
31-IndiErg-3 Softwareanwendungen für WirtschaftswissenschaftlerInnen Softwareanwendungen für Wirtschaftswissenschaftler Study requirement
Student information
31-IndiErg-4 Softwareanwendungen für WirtschaftswissenschaftlerInnen II Softwareanwendungen für Wirtschaftswissenschaftler Study requirement
Student information
31-M-El1 Elective Courses 1 Gewählte Veranstaltungen aus dem Bereich "Spezialkenntnisse in ökonomischer Theorie und/oder quantitativen Methoden" 2 LP Study requirement
Student information
31-M-El2 Elective Courses 2 Gewählte Veranstaltungen aus dem Bereich quantitative Methoden 2 LP Study requirement
Student information
31-M-El3 Elective Courses 3 Gewählte Veranstaltungen aus dem Bereich ökonomischer Theorie 2 LP Study requirement
Student information
31-MM12_a Mikrotheorie und -politik Praktische Übungen Study requirement
Student information
31-SW-GdS Grundlagen der Statistik Statistische Software Study requirement
Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.

Degree programme/academic programme Validity Variant Subdivision Status Semester LP  
Economics and Management (BiGSEM) / Promotion Finance; Electives   5  
Economics and Management (BiGSEM) / Promotion Data Science; Electives   5  
Economics and Management (BiGSEM) / Promotion Management; Electives   5  
Economics and Management (BiGSEM) / Promotion Economics; Electives   5  
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Registered number: 3
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Address:
WS2024_314080@ekvv.uni-bielefeld.de
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If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_480226192@ekvv.uni-bielefeld.de
Coverage:
3 Students to be reached directly via email
Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Tuesday, July 2, 2024 
Last update times:
Tuesday, July 2, 2024 
Last update rooms:
Tuesday, July 2, 2024 
Type(s) / SWS (hours per week per semester)
S / 3
Language
This lecture is taught in english
Department
Faculty of Business Administration and Economics
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ID
480226192