Eindhoven University of Technology
Process Mining: Data science in Action
Eindhoven University of Technology

Process Mining: Data science in Action

Taught in English

Some content may not be translated

86,133 already enrolled


Gain insight into a topic and learn the fundamentals

Wil van der Aalst

Instructor: Wil van der Aalst


(1,192 reviews)

Intermediate level
Some related experience required
22 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace

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There are 6 modules in this course

This first module contains general course information (syllabus, grading information) as well as the first lectures introducing data mining and process mining.

What's included

18 videos7 readings2 quizzes

In this module we introduce process models and the key feature of process mining: discovering process models from event data.

What's included

8 videos1 reading2 quizzes

Now that you know the basics of process mining, it is time to dive a little bit deeper and show you other ways of discovering a process model from event data.

What's included

8 videos1 reading1 quiz

In this module we conclude process discovery by discussing alternative approaches. We also introduce how to check the conformance of the event data and the process model.

What's included

8 videos1 reading1 quiz1 peer review

In this module we focus on enriching process models. We can for instance add the data aspect to process models, show bottlenecks on the process model and analyse the social aspects of the process.

What's included

9 videos1 reading1 quiz

In this final module we discuss how process mining can be applied on running processes. We also address how to get the (right) event data, process mining software, and how to get from data to results.

What's included

9 videos2 readings2 quizzes


Instructor ratings
4.8 (230 ratings)
Wil van der Aalst
Eindhoven University of Technology
1 Course86,133 learners

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