Introductory seminars on statistical software packages R and SPSS are being regularly offered by the institute. The seminars are free of charge to UKE staff members, PhD students and students.

We currently offer the R courses in an on-site or online format.

Description:
The statistical program R is an open-source software for the analysis of data with an extensive, constantly extending wider range of utility functions. Thus program R is mostly syntax-based and is an ideal tool for experienced programmers.

Speakers:
Mahnaz Badpa, Hans-Peter Brose, Alidan Duoerkongjiang, Alexander Fierenz, Ann-Kathrin Ozga, Amra Pepić, Gerhard Schön, Fabian Zambiasi

Course language: German/English alternately

Topics:

• What is R/RStudio? (Day 1)
• Data types/structures (Day 1)
• Data management (Day 1 & Day 2)
• Reproducible research & R Markdown (Day 2)
• Descriptive statistics (Day 2)
• Graphics (Day 3)
• Inferential statistics (Day 3 & Day 4)
• Functions & Programming (Day 4)

Course Timeline: Computer practical exercises (4x4 UEs)

For current courses please have a look at our German Website

Location (on-site course): UKE PC laboratory, Rothe-Geussenhainer-Haus (N45), Room 09

Registration: Online registration (in German)

Contact: imbe-softwarekurse@uke.de

Link: R Cran

We currently offer the SPSS courses in an on-site or online format.

Description:
The SPSS statistical program is available to you free of charge as a server license from the Computer Center (Rechenzentrum), University of Hamburg. The SPSS program has a Graphical User Interface (GUI) and is therefore particularly suitable for beginners having no programming experience. During the course, working with SPSS-syntax is explained.

Speakers:
Hans-Peter Brose, Alexander Fierenz, Denise Köster, Susanne Lezius, Ann-Kathrin Ozga, Dr. Hans Pinnschmidt, Katharina Stahlmann, Fabian Zambiasi

Course language: German

Topics:

• Introduction of the program
• An introduction to syntax
• Importing data records
• Data management
• Computing and creating variables
• Distributions/Graphics
• Descriptive statistics
• Statistical tests
  

Course Timeline: Computer practical exercises (3x5 UEs)

For current courses please have a look at our German Website

Location (on-site course): UKE PC laboratory, Rothe-Geussenhainer-Haus (N45), Room 09

Registration: Online registration (in German)

Contact: imbe-softwarekurse@uke.de