1 - Introduction to graphs 3 - Running basic and recursive traversals 4 - Pathfinding traversals and mutating graphs 6 - Developing an application 7 - Advanced data modeling techniques 8 - Building traversals using known walks 9 - Working with subgraphs 10 - Performance, pitfalls, and anti-patterns 11 - What’s next: Graph analytics, machine learning, and resources