Process Mining Training Course
21 hours (usually 3 days including breaks)
- A basic understanding of logic, sets, and statistics
- Basic computer skills
Process mining, or Automated Business Process Discovery (ABPD), is a technique that applies algorithms to event logs for the purpose of analyzing business processes. Process mining goes beyond data storage and data analysis; it bridges data with processes and provides insights into the trends and patterns that affect process efficiency.
Format of the course
The course starts with an overview of the most commonly used techniques for process mining. We discuss the various process discovery algorithms and tools used for discovering and modeling processes based on raw event data. Real-life case studies are examined and data sets are analyzed using the ProM open-source framework.
Data science professionals
Anyone interested in understanding and applying process modeling and data mining
Discovering, analyzing and re-thinking your processes
Types of process mining
Discovery, conformance and enhancement
Process mining workflow
From log data analysis to response and action
Other tools for process mining
Bookings, Prices and Enquiries
- Private Classroom
- Participants are from one organisation only. No external participants are allowed. Usually customised to a specific group, course topics are agreed between the client and the trainer.
- Private Remote
- The instructor and the participants are in two different physical locations and communicate via the Internet. More Information
The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.
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- Public Classroom
- Participants from multiple organisations. Topics usually cannot be customised
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