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.
автор: 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.
автор: 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!
автор: GR v d A•
Course is very clear, education level is high and also pragmatic. Very good start to understand and execute process mining.
автор: Martin B•
There should be a mandatory data science Project to make the students experience the practical side process mining projects
автор: 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.
автор: Amarildo J F d L•
O fato de não ter tradução para português impactou bastante na compreensão de algumas atividades
автор: Rine l C•
Very interesting course. Theory in the book goes quite deep, but it shows a lot of potential.
автор: Alberto C B•
Best course out there in Process Mining! The professor explains the topic in a very good way.
автор: Jesús R S•
Good approach to an interesting topic and extensive practise exercises with tools.
автор: Tania K•
Great course. A lot of academic knowledge but also covers practical experience
автор: A M•
Good course. Gives a nice overview over the topic Process Mining
a bit academic in the beginning, but really interesting.
автор: Dardo G•
Very interesting, practical and full o information.
I think practical tasks in ProM should be included
автор: Robin G•
Very clear presentation and a lot of examples
автор: DHAMMA A•
NO COMPLICATIONS IN THIS COURSE
автор: Rob v d L•
автор: Gabriel E•
автор: UMAIR P•
автор: Eric R•
I've completed the course with Honours, and If you wish to learn Process Mining, this is the course for you. I do however, have a number of problems with the learning material, which is why I've given 3 stars.
First, learning ProM, one of the Process Mining tools (the other being Disco). ProM is meant to be a more flexible and powerful tool, and is considerably more difficult to understand than Disco. However, Disco actually got its own video series explaining the details of how it works, with a step-by-step walkthrough. The ProM walkthrough was hidden inside the Honours Tool Quiz. There is a single video before that which gives an overview of ProM, but that's all it is, an overview.
In my personal opinion, the real reason ProM is difficult, is because it has a confusingly designed interface and little in-app explanation of its workings. This is, however, besides the point, and I'm not letting this impact the review of the course itself. I would just like to contest the concept of something necessarily being more difficult to learn just because it can do more.
Onwards to my second main gripe with this course - I was not impressed by the quality of the learning material. In one particular instance, when they introduce the Alpha algorithm, they begin by dumping 8 lines of dense set theory. Mind you, I'm already familiar with set theory, but I feel sorry for anyone who does not. I would have appreciated a more intuitive explanation.
Mind you - as I said before, if you are interested in Process Mining, this is a course you want to try. I just have high standards for teaching materials.
автор: Sofie H•
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.
автор: Sylvie B•
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.
автор: alex b•
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.
автор: Martin S•
Good introduction to theory of process mining, but most of the techniques are problematic and therefore not practical, and the test questions are tedious as they focus on testing whether you can remember the theory rather than how to apply the theory to real-world problems.