Jul 02, 2019
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.
Dec 10, 2019
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.
von Rob v d L•
Oct 15, 2017
von Gabriel E•
Mar 04, 2017
von UMAIR P•
Apr 15, 2019
von Sofie H•
Sep 07, 2018
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.
von Sylvie B•
Jan 12, 2020
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.
von Alexander B•
Oct 21, 2018
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.
von Martin S•
Dec 05, 2018
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.
von Henning B•
Aug 13, 2017
Interesting material, but the course seems mostly designed to cross-sell the book and promote the (open source) software of the authors, rather then promote understanding of the underlying algorithms.
Positive: The videos go through examples in great detail.
von Niko M•
Feb 04, 2019
Very good course. More real life cases and process mining examples would be beneficial.
von Max F•
Nov 01, 2018
I wish there was more hands on experience using the software
Jul 31, 2017
Some difficult issues need to explain in detail and more patiently
Jul 30, 2017
Week 2,3 and 4 need more focus in terms of explanation as it was very difficult to answer questions based on what the tutor taught. The tutor can be more illustrative with respect to the concepts taught in these weeks.
von Prashant R•
Jun 22, 2020
The course is very unstructured, and requires certain level of mathematical concepts in Data Mining.
The are many instances where clarity of instruction is missing.
Overall quality of the course can be improved.
von Jay L•
Sep 12, 2018
Poorly constructed and difficult to learn from. this class.
von Jeff B•
May 07, 2020