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Open Source Schulung: (same course in english)

Statistical modeling / R

R is a freely available software environment for statistical computing and graphics. This course encourages the use of R for extensive exploratory data analysis and the use of advanced statistical modeling tools for data analysis.

Who should attend?

Data analysists with experience in statistics will benefit from this course. The course is not intended as a first course in statistics or in R.

How you will benefit?

You will learn to use R for advanced statistical analysis and graphics. All practical exercises with solutions are included with the course material and can be followed after the course.


3 Tage, 998,00 € + 19% MwSt. = 1.187,62 €

Volle 8 Zeitstunden pro Tag, komplette Grundausstattung an Originalliteratur, freier Internetzugang überall, Leihnotebook, Vollpension, Getränke (besondere Weinsorten werden separat abgerechnet), Gebäck, selbstgebackene Kuchen, Sauna, Rahmenprogramm.

Zusatz- oder Minderleistungen auf Wunsch:

Aufpreis für Übernachtung im Zweibettzimmer (großes, komfortables Zimmer) 59,00 € + 7% MwSt. = 63,13 €pro Nacht
Aufpreis für Übernachtung in der Linuxhotel-WG 83,00 € + 7% MwSt. = 88,81 €pro Nacht
Aufpreis für Einzelzimmer (nach Verfügbarkeit, bitte rechtzeitig buchen) 129,00 € + 7% MwSt. = 138,03 €pro Nacht
Preisnachlaß bei Verzicht auf die Vollpension -29,41 € + 19% MwSt. = -35,00 €pro Tag
Preisnachlaß bei Verzicht auf das Rahmenprogramm -8,40 € + 19% MwSt. = -10,00 €pro Abend

Steuerliche Absetzbarkeit * Stornobedingungen


11.12 - 13.12.14 KW 50 Anmeldung Statistical modeling / R
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Dr. rer. nat. Pablo E. Verde is working in the range of statistical modelling in medical and clinical research, currently in synthesis of evidence (meta-analyses). He chairs the Biometrics Task Group in the Coordination Centre for Clinical Studies at Heinrich-Heine-Universität Düsseldorf and conducts research at the university's Institute for Medical Sociology. He has more than 20 years of international experience in statistical consultancy, research and teaching in the domains of medical science, agriculture, health research and risk analysis/financial econometrics.

Pablo is an expert on statistical software R and WinBUGS for MCMC calculations. Since 1998, he is an active member of the R community, being in charge of translation of R into spanish language.

Since 1990, he is teaching the application of S and R, at first for the financial sector and since 2000 in the academic realm.
Pablo is Visiting Lecturer of the Department of Statistics at Stanford University and a Stanford Community Member since 2007. In 2000, Pablo became a member of the Royal Statistical Society.


You should be familiar with basic statistical concepts up to regression and preferably you have some experience with R.

Falls Sie hier unsicher sind, beraten wir Sie gerne, per Mail oder telefonisch.


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