Master process mining techniques to analyze and improve business processes using real-world event data and practical software tools.
Master process mining techniques to analyze and improve business processes using real-world event data and practical software tools.
This comprehensive course bridges the gap between data mining and process analysis, teaching you how to extract actionable insights from event data. Learn to discover process models automatically, check conformance with existing models, and enhance processes using data-driven techniques. The course combines theoretical foundations with practical applications, covering everything from basic process discovery to advanced topics like operational support and social network analysis.
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What you'll learn
Understand and apply process mining techniques
Discover process models from event logs
Perform conformance checking between models and data
Analyze process bottlenecks and social networks
Apply process mining in real-world scenarios
Conduct structured process mining projects
Skills you'll gain
This course includes:
12.9 Hours PreRecorded video
9 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This comprehensive course covers the three main types of process mining: discovery, conformance, and enhancement. Students learn through a combination of theoretical lectures and practical assignments using real-life event logs. The curriculum progresses from basic data mining concepts through advanced process analysis techniques, including process discovery algorithms, conformance checking methods, and process model enhancement. Special attention is given to practical applications and tools used in process mining projects.
Introduction and Data Mining
Module 1 · 5 Hours to complete
Process Models and Process Discovery
Module 2 · 3 Hours to complete
Different Types of Process Models
Module 3 · 3 Hours to complete
Process Discovery Techniques and Conformance Checking
Module 4 · 3 Hours to complete
Enrichment of Process Models
Module 5 · 2 Hours to complete
Operational Support and Conclusion
Module 6 · 3 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Pioneering Mind in Process Mining and Data Science
Professor Dr. Ir. Wil van der Aalst is a distinguished university professor at Eindhoven University of Technology and one of the most cited computer scientists globally, recognized for his groundbreaking contributions to business process management, process mining, and data science. As the scientific director of the Data Science Center Eindhoven (DSC/e) and chair of the AIS group, he leads innovative research that bridges traditional process analysis with modern data-centric techniques. His extensive academic career includes honorary appointments at prestigious institutions such as Queensland University of Technology, Tsinghua University, and the National Research University in Moscow. With over 275 journal papers, 35 books, and numerous conference publications to his name, his work has significantly influenced both academia and industry, earning him the title "Godfather of Process Mining." Van der Aalst's research has led to the development of numerous commercial and open-source process mining tools, shaping the landscape of workflow automation and business intelligence. His accolades include being an IFIP Fellow, IEEE Fellow, ACM Fellow, and a member of several esteemed academies, alongside receiving honorary degrees from leading universities. In 2018, he was awarded the prestigious Alexander-von-Humboldt Professorship, further cementing his status as a leader in his field. Through his innovative research and thought leadership, Professor van der Aalst continues to drive advancements in understanding and optimizing complex processes in various domains.
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