Most popular programs
Trending now
Process mining is an exciting new technology that enables organizations to improve operational processes in a data-driven manner. Process mining can be applied in logistics, finance, production, sales, and healthcare. This hands-on course explains the key concepts and techniques in process mining. You will learn about automated process discovery, conformance checking, performance analysis, and applications of machine learning to event data. The theoretical concepts learned are tool and application-independent. However, to be able to apply these concepts, the course provides several data sets and access to the Celonis process mining software. After taking this compact course, participants understand current trends in process management and automation, know the key process discovery and conformance checking algorithms, and can apply these to real-life data sets using the Celonis software. Moreover, it is clear how comparative and predictive process mining techniques can be used to perform root cause analysis of performance and compliance problems in any domain.
Secondary school (high school) algebra; basic mathematics concepts
Basic Understanding of processes, process inefficiencies and their impact on business
Understand and apply process discovery techniques
Understand and apply conformance checking techniques
Process modeling techniques such as DFGs, BPMN, and Petri nets
Extracting event data for process mining
Compare and analyze operational processes
Know the connection between process mining, data science, and machine learning
Know the connection between process mining, process science, automation, and process management
Use the Celonis process mining software using your own data sets
Week1: Welcome and basic concepts
Week2: Process discovery
Week3: Conformance checking
Week4: Process Analysis
Week5: Closing and Final Quiz