Needs some kind of mathematical skills. And If you want to learn practical skills, you should move to week5 and week6.

Gives a solid foundation for the process mining concepts!! Explained in depth by a wonderful professor.

I think that the course requires a specific module of practices to get a more practical learning.

O fato de não ter tradução para português impactou bastante na compreensão de algumas atividades

Very interesting course. Theory in the book goes quite deep, but it shows a lot of potential.

Best course out there in Process Mining! The professor explains the topic in a very good way.

some tasks/assignments were a bit cubersome to navigate but overall a great course

Good approach to an interesting topic and extensive practise exercises with tools.

Great course. A lot of academic knowledge but also covers practical experience

Good course. Gives a nice overview over the topic Process Mining

More examples to explain calculations would be helpful.

a bit academic in the beginning, but really interesting.

Very interesting, practical and full o information.

I think practical tasks in ProM should be included

Very clear presentation and a lot of examples

NO COMPLICATIONS IN THIS COURSE

Useful information for my work

muy completo pero muy teorico

Challenging and fun

Excellent course!

Great course!

Good Course

Sometimes too technical. It would have enjoyed it more if there would have been the possibility to choose which aspects of Process Mining I was interested in. In one of the last lessons, I came to the understanding that I want to apply process mining to spaghetti-structured event data, therefore I had to learn a lot about prediction, recommendation and so on which than turned out to be completely useless for me. I have the same feeling for the petri net, workflow syste, BPMI and so on that are presented; this is only useful for some users while this takes a large part of the study time. It may thus be recommended to organize a more 'practical' PM course for users interested in using Disco and a more technical course for users interested in more advanced analysing techniques.

Significant learnings on content which appears rationale but proved not to be in modules 2 and 4. The concepts of deadlock, soundness, live is not well explained. The time required is significantly more than advertized by Coursera. The quiz are not timed, even though there is a time indication. Some questions on the quiz have multiple correct answers, which are sometimes very subjective and tricky to get right. Lots of mental gymnastics and computation. Sadly, the concept of peer-graded assignment to strive for honors roll does not work well as the number of learners at anytime is very few, if any. The honors assignment on module 4 is very lengthy and regrettably cannot be completed satisfactorily because of software issues.

Some topics are a bit glazed over and others with concepts that are acknowledged to have major shortcomings (e.g. the alpha algorithm) have a heavy focus in the course and exam despite these shortcomings. Frequent notational switches ("we can automatically change this to ___ ") can make some lectures harder to follow as well, if you're not perfectly versed in some of the leveraged notations in this course. OK overall.