Students will gain insights into specific analytics for behavioural data as well as more general concepts usable for any data types. They will learn about programming languages, data analytics workflows from wrangling to modelling and visualisation, and study the underlying statistical methods. Students can choose from workflows based on Python, R/tidyverse, or Matlab. Data will be provided and include videos, movement trajectories, ANS effector recordings, and neuroimaging data.