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The article deals with the creation of training courses scenarios. The main objective of the development of software components of the training system is the ability to create an algorithmic structure of training fragments representing test tasks, workshops and just information support. On the basis of this instrumental environment a practical work on the topic of statistical analysis, modeling and forecasting of passenger flows in the urban route network has been developed. The study of passenger flows is considered as one of the important stages of designing and organizing the route network of the urban passenger transport. The purpose of this article is to develop a training scenario aimed at identifying hidden patterns of passenger flows at stopping points of bus routes with the subsequent development stage of associated models of random flows with specified autocorrelation properties .In addition to the auto-correlation estimation and spectral analysis, the main components analysis which allows to reduce significantly the dimensionability of the multidimensional time series of passenger flows at the stopping points of the route is carried out.