The user progressively learns all functionalities within QSPRpred from data set acquisition to model evaluation. A quick start tutorial is designed to get the user to prepare a dataset and run a single-task QSAR regression model with QSPRpred as quickly as possible. After the quick start tutorial, a series of one, seven and three tutorials covering respectively the basics of benchmarking, data handling and modelling within QSPRpred are available. These tutorials go over the main aspects that need to be taken into account in any modelling project prior to modelling (i.e data collection, preparation, featurization and splitting), but also the necessary tools to build and validate models (i.e. formulation of model tasks, model assessment and logging of progress and results). These basic tutorials can be accessed individually or followed sequentially from the quick start guide.