Johannes obtained his BSc and MSc in Information Systems Engineering, and his PhD in Applied Economics at KU Leuven, Belgium. He is currently the Dixons Carphone Lecturer in Business Analytics.
His research focuses on the discovery of flexible business process models from data generated by process-aware information systems. He also performs research on the integration of Internet-of-Things data into processes, as well as on many other problems in the decision modelling and mining area, including temporal item-set analysis.
EdX
Discover how to harness the potential of your data with our comprehensive Predictive Analytics using Machine Learning course on edX. This course will equip you with essential skills in machine learning techniques, enabling you to construct precise predictive models that can transform your approach to problem-solving and decision-making processes.
EdX
Dive deep into the world of predictive modelling with this expert-led course. You'll learn essential techniques for evaluating and sampling predictive models, all while mastering the use of Python as a powerful tool in assessing model adequacy. Whether you're new to the field or looking to refine your skills, this course will provide you with a solid foundation in understanding performance evaluation metrics.