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Introduction to Process Mining with ProM

Joos Buijs

Topics Covered

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.
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.

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Reviews summary

Practical process mining with prom

This course offers a solid introduction to process mining with ProM. It covers the fundamentals of process mining and provides hands-on experience with the ProM tool. While some learners may find the material a bit dry, overall, the course is well-received and recommended for those interested in process management, data science, or process analytics.

Covers the basics of process mining.

"This course is a very good introduction into the world of Process Mining."

Provides hands-on experience with ProM.

"I recommend the course to people used to apply analytical methods in business environments!"

May not be relevant for all learners.

"It really didn't grab my attention... the exercises felt too irrelevant to what I was expecting."

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Time

12 hours

Via

FutureLearn

Institution

Eindhoven University of Technology

Instructor

Joos Buijs

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