-
Learn to get a critical, process-centric perspective on data
Process mining combines business process management with data science. Using process mining, you can analyse and visualise business processes based on event data recorded in event logs. For example, you could analyse how people use public transportation; verify whether a loan application is processed correctly by a bank; or predict when hardware parts are likely to fail. This online course will give you an introduction to this new and exciting field.
This course is designed for anyone with an interest in business process management (BPM), data science and/or process analytics. No specific prior knowledge is required, only a healthy interest is required.
We do however require you to have a computer with internet access ready on which you can install and use ProM. Please refer to www.promtools.org for more information regarding ProM.
Overview
Syllabus
-
- Introduction into process mining and ProM
- Introduction
- ProM lite
- Event logs
- Converting data into an event log
- Exploring and filtering event logs
- Week 1 closing
- Process models and process discovery
- Process models
- Process discovery and process model quality
- The Alpha miner
- The Heuristics miner
- Inductive miner
- Fuzzy miner
- Week 2 closing
- Advanced process mining techniques
- Conformance checking
- Performance analysis
- Social network analysis
- Process mining case studies
- Overview of process mining activities and process types
- Week 3 closing
- Applying what you’ve learned
- Event log exploration and filtering
- Process discovery and conformance checking
- Further process analysis
- Week 4 & course closing
