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Beyond this course

We have now reached the end of Week 4, consequently the end of ‘Introduction to Process Mining with ProM’. We hope you have learned many practical skills for which you see many possible applications.

If you want to help us improve the course (or strengthen the good points), please fill in our post-course survey! This survey is a key tool for us to analyse how well this MOOC ran and what could be improved, so we appreciate your time and effort for providing us with your feedback.

Stay up to date with process mining

Although the course has ended, there are several ways you can stay up-to-date on the progress of process mining and its applications.

First of all there are the websites and And for specific questions regarding ProM we have the ProM forum at

There are also process mining communities on LinkedIn, Facebook, and of course Tweets on Twitter.

If you are interested to know more of the algorithms, other process mining techniques, and commercial tools, then the book ‘Process mining: data science in action’ by process mining godfather W.M.P. van der Aalst is highly recommended.

Finally, if you enjoyed this course, you might be interested in one of the other courses provided by the European Data Science Acadamy (EDSA). See the EDSA courses page for an overview of the courses we offer.

We hope that you have learned a lot, and won’t stop learning.

Looking forward to meeting you ‘beyond this course’.

Happy mining!

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This article is from the free online course:

Introduction to Process Mining with ProM

Eindhoven University of Technology

Get a taste of this course

Find out what this course is like by previewing some of the course steps before you join:

  • Introduction

    Introduction to process mining: recognizing event data, what is process mining and what can process mining analyse.

  • Installing ProM lite
    Installing ProM lite

    In this step we show how to find and install the free and open source process mining tool ProM lite.

  • Using ProM lite
    Using ProM lite

    In this lecture we show the basic concepts and usage of ProM (lite): the resource, action and visualization perspectives.

  • Event logs
    Event logs

    In this lecture we explain what an event log is and how it is structured. We also explain the most common attributes found in an XES event log.

  • Event logs in ProM
    Event logs in ProM

    In this lecture we show you how you can load an event log in ProM and how you can get initial insights in the contents.

  • Converting a CSV file to an event log
    Converting a CSV file to an event log

    Most data is not recorded in event log format. In this video we explain how a CSV file can be converted to an event log.

  • Exploring event logs with the dotted chart
    Exploring event logs with the dotted chart

    After loading an event log into ProM it is important to apply the dotted chart to get initial process insights before process models are discovered.

  • Filtering event logs
    Filtering event logs

    Before good quality process models can be discovered the event log data needs to be filtered to contain only completed cases for instance.

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