StatisticsSemester Course

Elective Course, Statistics
Major Discipline(s)
Economics, Engineering, Mathematics
Elective Course
Fall/Spring semester

This is an introduction to statistical methods for data analysis. The course covers fundamentals of probability, experimental design, and analysis of small and large data sets. Using a hands-on approach, the course emphasizes hypothesis generation, testing, and applicability of correct statistical tools depending on the dataset. Students work with publicly available data and also collect their own data. To conduct statistical analyses, students are introduced to the software R and its interface, R-Studio.


Related Discipline(s)

This course would also be of interest to the following discipline(s):
Biomedicine / Biotechnology, Neuroscience


María de la Paz Celorio

DIS Stockholm Semester Faculty

Ph.D. in Plant Biology, University of California, Davis (2008). Research Engineer and Analyst in population genetics/ecology at Stockholm University (2010–⁠present). Previous experience as a Postdoctoral Associate at Max Planck Institute of Chemical Ecology (2008–⁠2010). Has contributed to the understanding of gene-expression plasticity in butterflies and genetic differentiation of populations of wild fish using genome-wide data. Has taught courses and led practical laboratories on statistics, biotechnology, and population genetics for American and Swedish students. With DIS since 2021.