A Hands-On Introduction to Process Mining from edX

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

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

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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