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Process Mining: Data science in Action

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.

(1,215 ratings)

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Process Mining: Data science in Action

This course includes

22 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,439

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

Process Mining
Data Analysis
Business Process Management
Petri Nets
Process Modeling
Conformance Checking
Event Log Analysis
Process Discovery

This course includes:

12.9 Hours PreRecorded video

9 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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

Wil van der Aalst
Wil van der Aalst

4.8 rating

20 Reviews

89,057 Students

1 Course

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.

Process Mining: Data science in Action

This course includes

22 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,439

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

1,215 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.