Course provided by Future Learn

Study type: Online

Starts: Anytime

Price: Free


Learn to get a critical, process-centric perspective on data

Process mining combines business process management with data science. Using process mining, you can analyse and visualise business processes based on event data recorded in event logs. For example, you could analyse how people use public transportation; verify whether a loan application is processed correctly by a bank; or predict when hardware parts are likely to fail. This online course will give you an introduction to this new and exciting field.

What topics will you cover?

Process mining provides a critical, process-centric perspective on data, which is not available with classical data mining or machine learning techniques. For example, with process mining you can:

  • analyse how people use public transportation;
  • verify whether the loan application process in a bank is executed correctly;
  • gain insights in customer journeys on a website and combine this with interactions on different channels such as phone and e-mail;
  • analyse learning behaviour of students in a MOOC to improve course contents;
  • predict when hardware parts are likely to fail.

Week 1 introduced process mining and showed that event data is everywhere. Furthermore, it explained how you can translate event data that you might have for use in our tool. We also discussed how to start investigating the event log and how to filter the event log based on these insights for further analysis.

Week 2 discussed process models and how to evaluate how good a process model is with respect to the data. We also demonstrated several techniques to automatically learn a process model from the data, and discussed the pros and cons of each approach.

Week 3 covered additional process mining techniques such as conformance checking, performance analysis and social network analysis. This week also showed process mining application examples.

Week 4 provided learners with time to work on the peer assignment where they were asked to write a real process mining report on real-life event data.

After this course learners can:

  • work with the free and open source process mining tool ProM;
  • process raw event data into an event log for further analysis;
  • execute core process mining analysis techniques, and correctly interpret the results;
  • gain concrete and actionable process insights from (their own) event data.

When would you like to start?

Start straight away and learn at your own pace. If the course hasn’t started yet you’ll see the future date listed below.

  • Available now

Who is the course for?

This course is designed for anyone with an interest in business process management (BPM), data science and/or process analytics. No specific prior knowledge is required, only a healthy interest is required.

We do however require you to have a computer with internet access ready on which you can install and use ProM. Please refer to for more information regarding ProM.

Who developed the course?

Eindhoven University of Technology

Eindhoven University of Technology (TU/e) is a research-driven, design-oriented university of technology with a strong international focus. The university was founded in 1956 and has 8,500 students.