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.
par 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.
par 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.
par 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.
par Niko M•
Very good course. More real life cases and process mining examples would be beneficial.
par Babak N R•
It should be more practical and the screenshots quality needs to be improved
par Daniel C J•
Poco enfocado al soundness
Some difficult issues need to explain in detail and more patiently
par Vicente C•
too much focus on theory i can't apply this to any real data
par Sinkov E•
The whole course was duplicating a book of an author. It reminds listening to an audiobook. The introduction looked very appealing, so I immediately bought it. It is the first course when I can state that it was a complete waste of time and effort. In my opinion, the teaching skills of an author are fairly low. The material is supplied in a linear manner and honestly, after watching lectures almost no information stays. I've tried watching additional videos via youtube and even those unprofessional free videos are more helpful.
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.
par Prashant R•
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.
par Jay L•
Poorly constructed and difficult to learn from. this class.
par Jeff B•