The course is designed and presented by professor aptly for beginners. I think before reading the Process Mining book it is good to take this course and then read the book later. The quizzes are good.
Good content, very thorough, and I learned a LOT! Took more time than suggested, as I learn by taking notes and reproducing diagrams. But the course structure allowed for frequent pauses to do this.
By Jasper v H•
Good short course to get introduced into the formalism of process mining. Beginning might be a bit overly formal with not much justification for why this formalism is best. Could use a bit more real-world examples at the end, and how data science and machine learning can help.
By An N•
The course is a very nice introduction. I would have liked to give more additional hints to more advanced methods for an audience interested in perusing a PhD in this field. E.g. some optional implementation tasks/project would have been nice.
By Theo d K•
Good course, interesting subject. Sometimes examples are presented too quickly, without explaining where certain numbers come from. References to chapters in the book refer to another edition of the book (no biggie)
By Martin L•
An excellent course to get a broad overview of the innerworkings of process mining. Somewhat more on the technical side so I strongly recommend doing the honors assignments to get to the practical aspects.
By Maximilian P•
The topics covered in the course were very interesting, though the course would have been more valuable if accompanied with python programming of case studies.
Kind regards Max
By Sameer K•
Good introductory course to data mining. It would help if the disco demo version has a higher limit ( >100 lines) as that would allow better experimentation with real data.
By Jelmer J G•
I would like to have 1 more week in which one can go through a process mining process from start to end, step by step. Furthermore, great course, very hands-on and useful
By Olivier S•
Very interesting course, provides a lot of valuable background and insights on process mining, but as always, it will take a lot of practice to be able to create value.
By Francesco C•
Not that difficult, but it gives the right instruments to understand how things are related into a process and how it can be described starting from logs.
By Somayeh M•
Thanks to Prof. Wil Van Der Aalst and his team for providing me with the opportunity of learning process mining. That was terrific!
By GR v d A•
Course is very clear, education level is high and also pragmatic. Very good start to understand and execute process mining.
By Martin B•
There should be a mandatory data science Project to make the students experience the practical side process mining projects
By Pieter V d d•
Very interesting course. Last two weeks put quite some emphasis on advertising tools instead of explaining them thoroughly.
Gives a solid foundation for the process mining concepts!! Explained in depth by a wonderful professor.
By Amarildo J F d L•
O fato de não ter tradução para português impactou bastante na compreensão de algumas atividades
By Rine l C•
Very interesting course. Theory in the book goes quite deep, but it shows a lot of potential.
By Alberto C B•
Best course out there in Process Mining! The professor explains the topic in a very good way.
By Felix G•
some tasks/assignments were a bit cubersome to navigate but overall a great course
By Jesús R S•
Good approach to an interesting topic and extensive practise exercises with tools.
By Tania K•
Great course. A lot of academic knowledge but also covers practical experience
By A M•
Good course. Gives a nice overview over the topic Process Mining
By Chow K M•
More examples to explain calculations would be helpful.
a bit academic in the beginning, but really interesting.
By Dardo G•
Very interesting, practical and full o information.
I think practical tasks in ProM should be included