In this DBL, students get a chance to get a first glimpse on process mining. Through a practical case, students will learn the basics of data mining in the context of (business) processes and they build a prediction model for process aspects. In the basic course Data Analytics for Engineers, students have seen the basics of data analytics. In this course, we introduce a new perspective into the mix: The process perspective. Data is not just considered as a static object, but temporal aspects are considered. In this DBL, we look at this problem from a process mining perspective. We use data coming from such a system to to develop a prediction model to predict the remaining processing time of a case. This prediction model is to be developed using Python or Java or any other programming language using whatever data analysis techniques the students in each group think of.