12 August 2016
Introduction to Data Analysis Using R
This course provides an introduction to the statistical programming language R. Since R has gained a lot of attention among data analysts in general and social scientists in particular, we will emphasise the particularities of survey data analysis using R. The objective of the course is to enable attendants to write their own project syntax ranging from importing data into R to applying standard and more advanced analysis methods. We expect participants to be already familiar with data analysis in general and ideally with some other statistical analysis software such as Stata or SPSS.
Because the course is introductory with respect to R but not statistics, an introduction to basic and advanced statistical methods is not given.
The course in particular aims to provide those interested in attending the course “Item Nonresponse and Multiple Imputation” with a sufficient level of R knowledge.
You can find the full syllabus of the course with complete information on the topics, literature, and day-to-day schedule on https://training.gesis.org.
Dr. Hans Walter Steinhauer and Ariane Würbach, research assistant at the Leibniz Institute for Educational Trajectories (LIfBi) in Bamberg, Germany
Participants will find the course useful if they:
- have to do a lot of data analysis, and create graphics or (standardised) reports;
- need a powerful statistical software at hand for various tasks;
- want to benefit from recent implementations of statistical algorithms and methods;
- want to become part of a fast-growing user community;
- have been wondering if R is hard to learn (no, it is not!);
- wish to acquire sufficient knowledge of R language for the course "Item Nonresponse and Multiple Imputation".
By the end of the course participants will:
- be able to conduct sophisticated (survey) data analysis in R;
- know how to create publishable graphics and tables;
- be familiar with “programming” statistical analysis;
- be able to structure workflow in research projects.
- Certificate of attendance issued upon completion.
- 2 ECTS points via the University of Mannheim for regular attendance and satisfactory work on daily assignments (EUR 20).
- 4 ECTS points via the University of Mannheim for regular attendance and satisfactory work on daily assignments and for submitting a paper/report of about 5000 words to the lecturer(s) up to 4 weeks after the end of the summer school (EUR 50).
EUR 250: Student/PhD student rate.
EUR 350: Academic/non-profit rate.
Early bird discount: EUR 50 for applicants who book and pay by April 30.
The rates include the tuition fee, course materials, the academic program, access to library and IT facilities, coffee/tea, and a number of social activities.
10 DAAD scholarships are available via the Center for Doctoral Studies in Social and Behavioral Sciences (CDSS) at the University of Mannheim.