On top of the basic tutorials, a series of ten advanced data and modelling tutorials are available. These help the user to build on top of the already acquired basic knowledge of QSPRpred by teaching them how to customize functionalities and add new features. These tutorials are aimed at researchers who develop new methods and want to take advantage of QSPRpred to automate and standardize certain tasks. The advanced tutorials showcase the possibilities to perform hyperparameter optimization and add custom descriptors and data splitting methods, as well as custom models.