Educational Data Mining (EDM) and Learning Analytics (LA) are research fields that focus on developing methodologies and tools to explore and analyze data gathered from educational settings. The roots of EDM are in constructing, studying and improving intelligent tutoring systems that guide and teach students, while LA has roots in the analysis of data originating from different types of learning management systems with the goal of improving offered education. Methods and practices in both fields are very similar, and various forms of machine learning and data mining practices are in the very core of both fields.