Statistical Analysis with R
- Interdisziplinary Methods -
PhD-students of the GGG, other PhD-students if free places are available
Type of training:
Mon. 11.03. – Fri. 15.03. (Mon. till Fri.)
10:00 – 12:00 + 14:00 – 16:00)
"Blauer Turm" MZG 8.163
Available seats: 10
Course language: English
Requirements: The participants are supposed to bring their own laptops. In order to obtain a course certificate it is necessary to actively participate in the workshop and to hand in a report (approx. 12 pages).
Teacher: Nadja Klein / Benjamin Säfken
This course is primarily aimed for PhD students from the faculties participating in the GGG and who plan to conduct empirical analyses within their PhD project. Prior knowledge of R is not required. However, the participants are supposed to be familiar with basic statistics (e.g. from introductory courses in statistics or econometrics).
The freely available statistical software environment R has established itself as a de-facto standard in many areas of statistics over the last years. The aim of this workshop is to provide an introduction into R and to repeat and illustrate statistical concepts that are relevant for applied empirical studies with R. The topics of the workshop will be adjusted to the interests of the participants.
Credits: 0/2 Credits
Demands: depending on credits
Application starts 19.11.2012 (until 11.02.2013)
Application only via: firstname.lastname@example.org
Contact for more information: Christina Qaim, Phone: +551 39-10630
This course is organised by the KMU-Netzwerk der GGG and funded by the European Union (European regional development fund (ERDF)).