In this course we will explore the data analysis process from the beginning —the moment a set of data comes out of a subject's brain and/or behaviour— to the end —the moment we make an inference about how the brain and/or cognition works. In doing this, we wil cover data treatment and management (e.g., tidy datasets), graphical data exploration, data manipulation (e.g., standardisation, centering) and, of course, data modelling. We will focus on mixed-effect models as our main statistical tool, which is a very general approach that covers essentially all kind of datasets a neuroscientist might ever want to tackle -- from cell biology, to system neuroscience, to psychophysics.
