This is a repository, which allows interested students and researchers to perform hands-on analysis of knowledge graphs. It is primarily developed as part of the knowledge graph analysis lecture of the SDA Group at the University of Bonn. However, the material itself is also useful for anyone else. Knowledge graphs represent knowledge in terms of entities and their relationships as shown in the figure below. The nodes of a knowledge graph are the objects which are relevant in your domain and have a unique identifier (so they represent real world "things" rather than just a string label). The edges are the connections between those objects. Since knowledge graphs are intuitive and enjoy a number of benefits, they became very popular over the past decade. Some of the most well known knowledge graphs are the Google Knowledge Graph (a major component of Google Search and other services), DBpedia (a knowledge graph extracted from Wikipedia), Wikidata, YAGO, the Facebook Social Graph, Satori (Microsoft Knowledge Graph) and the LinkedIn Knowledge Graph.