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Prof. Dr. Wil van der Aalst

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.

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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.

What you'll learn

  • 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

What's inside

Syllabus

Week1: Welcome and basic concepts
Overview of the Process Mining Field and Basic Concepts
Introduction to Celonis Tool
Week2: Process discovery
Read more
Process Discovery and Directly-Follows Graphs
Discover Sophisticated Process Models (introduction to inductive miner and different process modeling notations)
Week3: Conformance checking
Alignment-Based Conformance Checking
Footprint-Based Conformance Checking
Token-Based Replay Conformance Checking
Week4: Process Analysis
From Traditional Event Logs to Object-Centric Event Logs
Comparative and Predictive Process Mining
Week5: Closing and Final Quiz
Closing Talk
Theoretical and Hands-on Final Exam (verified track)

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops core skills in process discovery, a key component of data-driven operational process improvement
Taught by Wil van der Aalst, a renowned professor in process mining
Builds a strong foundation for beginners in process mining, covering basic concepts and techniques
Offers practical learning through access to Celonis process mining software and real-life data sets
Provides hands-on experience in applying process mining techniques to improve operational efficiency
Emphasizes the connection between process mining and data science, enhancing its relevance in the digital age

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in A Hands-On Introduction to Process Mining with these activities:
Prepare for Process Mining Course
Review foundational concepts to ensure readiness for effective participation in the course.
Browse courses on Event Data
Show steps
  • Review basic concepts of event data and process modeling.
  • Explore different process discovery techniques.
  • Understand the principles of process analysis and performance evaluation.
Use Celonis Process Mining University
Interact with various course materials to become familiar with the topics and concepts of the course materials.
Show steps
  • Register for a Celonis Process Mining University account
  • Explore the Process Mining University portal.
  • Complete the Process Mining Fundamentals course.
Participate in Course Discussion Forums
Engage with peers and the instructor to discuss course concepts, share insights, and provide support.
Show steps
  • Review the course discussion forums regularly.
  • Post thoughtful questions and comments.
  • Respond to the posts of other participants.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Connect with Process Mining Experts
Identify experienced professionals in the field of process mining to provide guidance, advice, and learning opportunities.
Show steps
  • Attend process mining conferences and meetups.
  • Join online process mining communities and forums.
  • Reach out to individuals working in relevant roles.
Organize Course Notes and Materials
Build a structured repository of course materials for easy reference and effective review.
Show steps
  • Create a dedicated folder for course materials.
  • Download and organize lecture slides, handouts, and assignments.
  • Keep notes during lectures and tutorials.
  • Review and update course materials regularly.
Form Study Buddy Groups
Collaborate with other participants to discuss course topics, work on assignments together, and quiz each other.
Show steps
  • Identify a group of classmates with complementary skills and interests.
  • Set up regular study sessions.
  • Share knowledge and support each other through discussions and group activities.
Practice Process Mining Techniques
Practice applying the core process mining techniques to real-world data to develop a deeper understanding and proficiency.
Browse courses on Process Discovery
Show steps
  • Download the provided process mining data sets.
  • Import the data into the Celonis Process Mining software.
  • Apply process discovery, conformance checking, and performance analysis techniques.
  • Analyze the results and identify areas for process improvement.
Develop a Process Improvement Plan
Create a comprehensive plan that outlines the steps for improving a specific operational process based on the insights gained through process mining.
Browse courses on Process Improvement
Show steps
  • Identify a suitable operational process for improvement.
  • Conduct a detailed process analysis using process mining techniques.
  • Develop a set of improvement recommendations based on the analysis findings.
  • Create a detailed implementation plan for the improvement recommendations.
Participate in Process Mining Challenges
Test skills in a competitive environment, gain practical experience, and contribute to the broader process mining community.
Show steps
  • Identify relevant process mining competitions and hackathons.
  • Form a team or participate individually.
  • Develop innovative solutions to real-world process mining challenges.
  • Showcase results and share insights with the community.

Career center

Learners who complete A Hands-On Introduction to Process Mining will develop knowledge and skills that may be useful to these careers:
Process Automation Engineer
Process Automation Engineers design and implement automated solutions to improve business processes. They use process mining to analyze processes and identify opportunities for automation. This course covers process mining and analysis, which are essential skills for Process Automation Engineers. This course can help Process Automation Engineers build a strong foundation in process automation and improve their ability to design and implement effective automated solutions.
Process Optimization Specialist
Process Optimization Specialists are responsible for identifying and implementing opportunities to improve business processes. They use process mining to analyze processes and identify areas for improvement. This course covers process mining and analysis, which are essential skills for Process Optimization Specialists. This course can help Process Optimization Specialists build a strong foundation in process optimization and improve their ability to identify and implement opportunities to improve business processes.
Process Engineer
Process Engineers design and improve processes to make them more efficient and effective. This course covers process modeling, analysis, and improvement, which are all essential skills for Process Engineers. This course can help Process Engineers build a strong foundation in process management and improve their ability to design and implement effective processes.
Business Process Manager
Business Process Managers are responsible for managing and improving business processes. They use process mining to analyze processes and identify areas for improvement. This course covers process mining and analysis, which are essential skills for Business Process Managers. This course can help Business Process Managers build a strong foundation in process management and improve their ability to manage and improve business processes.
Continuous Improvement Manager
Continuous Improvement Managers are responsible for leading and implementing continuous improvement initiatives within an organization. They use data and process analysis to identify areas for improvement and develop and implement solutions. This course covers process mining and analysis, which are essential skills for Continuous Improvement Managers. This course can help Continuous Improvement Managers build a strong foundation in continuous improvement and improve their ability to lead and implement successful improvement initiatives.
Operations Manager
Operations Managers plan, organize, and direct the operations of an organization. They ensure that processes are efficient and effective and that resources are used wisely. This course covers process mining and analysis, which are essential skills for Operations Managers. This course can help Operations Managers improve their ability to understand and improve business processes.
Data Scientist
Data Scientists use data to solve business problems and make predictions. They develop and apply machine learning algorithms to analyze data and extract insights. This course covers process mining, which is a technique used to analyze and improve business processes. It can be helpful for Data Scientists who want to expand their skill set and learn how to use data to improve business operations.
Data Analyst
Data Analysts use data to make informed decisions and solve business problems. This course covers process mining, which is a technique used to analyze and improve business processes. It can be helpful for Data Analysts who want to expand their skill set and learn how to use data to improve business operations.
IT Manager
IT Managers are responsible for planning, organizing, and directing the IT operations of an organization. They ensure that IT systems are efficient and effective and that resources are used wisely. This course covers process mining and analysis, which are important for understanding and improving IT processes. This course can help IT Managers build a strong foundation in IT management and improve their ability to manage and improve IT operations.
Quality Assurance Manager
Quality Assurance Managers are responsible for ensuring that products and services meet quality standards. They develop and implement quality control processes and monitor performance to identify areas for improvement. This course covers process mining and analysis, which are important for understanding and improving quality processes. This course can help Quality Assurance Managers build a strong foundation in quality management and improve their ability to ensure that products and services meet customer expectations.
Quality Manager
Quality Managers are responsible for ensuring that products and services meet quality standards. They develop and implement quality control processes and monitor performance to identify areas for improvement. This course covers process mining and analysis, which are important for understanding and improving quality processes. This course can help Quality Managers build a strong foundation in quality management and improve their ability to ensure that products and services meet customer expectations.
Enterprise Architect
Enterprise Architects are responsible for designing and implementing the IT architecture of an organization. They ensure that the IT architecture is aligned with the business goals and that it is efficient and effective. This course covers process mining and analysis, which are important for understanding and improving IT architecture. This course can help Enterprise Architects build a strong foundation in enterprise architecture and improve their ability to design and implement effective IT architectures.
Technical Project Manager
Technical Project Managers are responsible for planning, organizing, and directing technical projects. They ensure that projects are completed on time, within budget, and to the required quality standards. This course covers process mining and analysis, which are important for understanding and improving project management processes. This course can help Technical Project Managers build a strong foundation in project management and improve their ability to plan, organize, and direct technical projects.
Program Manager
Program Managers are responsible for planning, organizing, and directing programs. They ensure that programs are completed on time, within budget, and to the required quality standards. This course covers process mining and analysis, which are important for understanding and improving program management processes. This course can help Program Managers build a strong foundation in program management and improve their ability to plan, organize, and direct programs.
Business Analyst
A Business Analyst examines current business processes and procedures and helps identify areas for improvement. This course covers process discovery and analysis, which are important for understanding how businesses operate and identifying opportunities for optimization. This course may be helpful for Business Analysts who want to improve their process analysis skills.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in A Hands-On Introduction to Process Mining.
Provides a solid foundation in data mining concepts and techniques. It covers a wide range of topics relevant to process mining, such as data preparation, feature selection, and model evaluation.
Provides a comprehensive introduction to data analysis and offers a practical guide to using Python for data manipulation, analysis, and visualization.
Introduces machine learning concepts and covers algorithms, real-world applications, and how to use them in Python.
Provides a comprehensive overview of machine learning in healthcare. It covers a variety of topics, including machine learning algorithms, applications in healthcare, and ethical considerations.
Introduces BPMN 2.0, providing a step-by-step guide to using the standard for modeling business processes.
Provides a comprehensive overview of data science. It covers a variety of topics, including data mining, data analysis, and data visualization.
Provides a comprehensive overview of business process reengineering. It covers a variety of topics, including process analysis, process design, and process implementation.
Provides a comprehensive introduction to Petri nets, covering theory, analysis, and applications, including process mining.

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