The Data Science 1 module contains foundations in the following areas: approaches to data acquisition, preprocessing, management, storage and visualisation of large amounts of data. Students working with different data types, as well as supervised and unsupervised learning methods. The module teaches classical approaches to information extraction. Upon completion, the students have the theoretical and practical knowledge of typical procedures and algorithms in the field of data science and machine learning. They are able to solve practical problems of data representation and knowledge discovery with the methods taught. They have gained experience in the application or implementation of data science algorithms.