An introduction to the practice of statistics using R

6 days: 16-23-30 September & 14-21 October & 4 November 2010


Dr. Diego Kuonen, CStat CSci, Statoo Consulting, Berne


This course concentrates on the practice of statistics as a tool for learning from data. The purpose of this course is to give an understanding of the principles in statistics that underlie data analysis, including an introduction to the design of experiments.

Upon completion of the course the students should be able to think critically about data, to use graphical and numerical summaries, to apply standard statistical inference procedures, to apply a variety of standard design of experiments tools and to draw reliable conclusions from data.

This course features a hands-on approach to learning, dividing class time between lectures, case studies and practicals using the free R software environment for statistical computation and graphics. Hence upon completion of the course the students should also be experienced in the use of the powerful R system.

general information

Dates: 16-23-30 September & 14-21 October & 4 November 2010   (6 days over 6 weeks)

Schedule: 8.55 - 17.00

Location: Université de Neuchâtel, Faculté des sciences, UniMail, building C (Animalerie), room C001

Credit points: 3.0 credit points (ECTS) (category Research tools)

Evaluation: A practical evaluation (case study or exercises) has to be passed at the end of the course.

Information: Please contact Dr. Diego Kuonen or the education officer Dr. Christiane Bobillier

Travel expenses: participants of the doctoral program are eligible for reimbursement of incurred travel expenses by train (half-fare card, and 2nd class). Please send the original tickets (no copies, except for the general abonnement) with the reimbursement form  to Dr. Christiane Bobillier.  No reimbursement for bus, taxi or car travel expenses will be paid.


  • This course is opened to all Ph.D. students. However, priority is given to "Interuniversity Doctoral Program in Organismal Biology" participants until 30 July 2010.
  • This course is free, but the effective cost is approx. CHF 500.00 per person. Therefore a waiting list will be prepared to ensure that there are no empty seats.
  • Minimum number of participants: 8, maximum: 16 (+ 4 with own computer).

Registration through the web only: Course full

Cancellation policy (CHF 200).