Computer scientists fuse and clean different data sources, train models, extract correlations, trends, clusters, and patterns. But often they are not the ones using these results. End-users, domain experts or people with background knowledge about the analyzed data get to interpret these results and base decisions on them. To make the results meaningful and useful for them, the computer scientists use data visualization to communicate and visualize the findings. Every year, the Department of Computer Science offers a dedicated course on data visualization where students learn the principles and even build their own data visualizations.