About this course
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.
Syllabus
Pre-requisites
Two courses in mathematics, at university level.
Faculty
María de la Paz Celorio
FacultyPh.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.