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Open Source Training: (gleicher Kurs auf deutsch)

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.

Price

3 days, 998.00 € + 19% vat = 1,187.62 €

Full eight clock hours per day, complete set of literature, WiFi, complimentary notebook, full board, drinks (selected wines are charged separately), pastries, homemade cakes, sauna, social program

Extended/reduced amenities on demand:

Surcharge per guest night in two bed rooms (spacious and comfortable rooms) 59.00 € + 7% vat = 63.13 €per night
Surcharge per guest night in the Linuxhotel-flat share 83.00 € + 7% vat = 88.81 €per night
Surcharge per guest night in single rooms (depending on availabity, early reservation recommended) 129.00 € + 7% vat = 138.03 €per night
Reduction for half board instead of full board accomodation -29.41 € + 19% vat = -35.00 €per day
Reduction w/o social program -8.40 € + 19% vat = -10.00 €per evening

Tax deductibility * Terms of cancellation

Schedules/Reservations

11.12 - 13.12.14 week 50 registration Statistical modeling / R
or
select your favourite reservation date

Tutors

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.

prerequisites for attending

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

If you feel uncertain on this point, we look forward to assist you via email or phone.

Course contents

Course schedule