Especially in data science, the mentality of getting started quickly and looking at the data is predominant. The result is a confusing collection of notebooks in which everything is contained somewhere. However, clean software cannot emerge from this. Therefore it is important, especially at the beginning of data science projects, to lay a solid foundation and establish standards. The central point for this is a structured project basis that allows test automation, documentation and versioning. In our 2-day workshop we would like to lay this foundation together with you.