An increasing number of longitudinal datasets are being made available. The longitudinal nature of the dataset may be represented as a hierarchy of stages, say, measurements across time nested within an individual. We’ll discuss how hierarchical models account for the nested structures and how Generalized Linear Models account for different outcome-response data types. Through hands-on exercises, the workshop will give a brief overview of the motivation and intuition of longitudinal data analysis.