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