Course Outline
Training plan
Introduction
Basics of Process Mining • What is Process Mining • Types of Process Mining • Examples of analyzes • Data requirements (Event Logs)
Basic Tools for Process Mining • Basic Process Mining Notations • ProM, Apromore • Automatic Process Discovery • Compliance Testing • Process Bottlenecks • Process Perspective
Exercises
Summary and Conclusions
Requirements
Requirements
• Basic understanding of logic, sets and statistics • Basic computer skills
Audience • Professionals Data Science • Anyone interested in tools for automatic process discovery and data-driven process insights
Testimonials (4)
Professional knowledge from the market provided by an expert
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Machine Translated
The content, as I found it very interesting and think it would help me in my final year at University.