I took the course to extend my knowledge of data mining and to apply it to a more business setting. I think the course does a great job to balance dry theoretical concepts (such as Petri Nets and other modelling notations) and business aspects (such as the holistic view of data and processes and the interpretation of results).

When preparing for applying for a process mining research position I reviewed every lecture and got to understand even more some aspects that didn't resonate with me on first viewing. It also helped me to dive into some process mining papers in between (such as the papers recommended at the end of some lectures). The more you encouter some concepts explained and used in different ways, the better you understand them.

If you are like me and want to add another layer on top of the data mining/data science knowledge and have some business ambitions, I would definitely recommend the course to you!

Very beautifully done: information very well and clearly organized, illustrated, presented, and referenced. Friendly approach to a genuinely useful topic.

Really good course, I could apply the knowledge I acquired direclty for my job.

This is really a great course. a new field which could help any one to find a better position at work and it will help in performing the most common process mining activities. I would recommend this course for any one who is interested to know more about process optimization and discovery. furthermore the course will slightly helps to conduct a process mining project. Many thanks to Wil van der Aalst and to everyone who supported to bring this course.

Excellent course! I really liked how the complex nature of Process Mining is explained with examples.

Both theoretical and practical sides of Process Mining are explained.

References to more specialized and advanced materials were given so that one can further research for particular needs.

Great work Wil!

I would really enjoy to see a course like "Comparative Process Mining" or "Advanced Practical Process Mining Applied" from you.

Thank you very much!

I loved this course! I learned so many different parts of Process Mining and will definitely use this in my work. Sidenote: The enthusiasm kept me going. Hope to see you soon and otherwise, see you next time!

Best online course Ive ever taken. Great details and lots of specific examples. Perfect theory and practice balance. Really satisfied! Congratulations for you for this example of how to set an online course!

Great overview of the Process Mining field. Easy to follow and very intuitive course material. Great usage of exercises and examples. Helpful practical introduction to Process Mining tools.

Very interesting course, explained in a understandable way and rich of high level topics. Essential for anyone who likes statistics and process analysis. Many congratulations for it!

This course was wonderful. I have attempted it several times, but did not find enough time to finish it until lately. Dr. van der Aalst is magnificent in his presentation.

Outstanding course structure, even for someone like me that have absolutely no background in process mining, to learn so much in this course:)

My first MOOC where I felt that really it meets the standards of a real-life university course. Broad, deep, challenging, highly recommended.

Great course about general principles of process mining! It gives many insights. Consideration of PM tools is very useful. Thanks!

Easy-to-understand with useful examples, and also process mining is a technique that is applicable to many cases.

the course looks into process analysis, which is also a very important section of data science!

Brilliant course. Would fully recommend

Rather complicated but great course

This is a phenomenal course and highly recommended for anyone interested in learning the next big thing in processes. I am a Lean Six Sigma Master Black belt and manage a Process Excellence team at a large corporation. I found the course content to be hugely meaningful in enhancing my learning of how data science tools used in Process Mining can meaningfully help solve real world problems. Professor Wil van der Aalst is truly a Guru in the field and his team must be complemented for conducting such a useful course on Coursera. The only note of caution is the course is challenging and it takes quite a bit of effort to learn the concepts and successfully complete the quiz. However the effort is totally worth it, rewarding and without this level of effort it will be very hard to understand and apply the concepts of process mining in real world. Hats off again to the course instructors!

I am surprised to have learned so many new topics and methods for data science in one course. It's like opening a pack of trading cards (e.g. Pokemon TCG or Yu-Gi-Oh cards) and finding that you don't have any duplicates. I think the knowledge in this course is a great addition to the skill set of any data scientist (regardless if you currently work or not with processes). Finally kudos to Prof. van der Aalst and his team. Very well planned lectures, quality content and no boring quizzes. I think it would be good for the future to add more quiz variations, as taking a quiz twice to improve one's answer one will work with exactly the same questions and numbers. I would also like to see a future Process Mining course, with more in-depth lectures on the topics of conformance checking and enhancement. A more practical side would also be welcome, for example coding some algorithms.

Very good, very thorough course - especially because of the many exercises strewn across the videos. The subject matter is not trivial - I often feel the need to re-read material in the accompanying text book, and it's taking me many weeks to find the time to complete this course. The videos, in my view, are too long. This means that there should probably be twice as many videos (they should not be longer than 10 min), or some of the material ought to be left out - mostly foundational stuff. Doing that would, however, invalidate the course as a stand alone introduction - I give full stars because it is in my experience, really hard to pull all of this off. Could only be done by a true expert like van der Aalst.

I'm a novice to data science and took this course after an (offline) post graduate education Big Data Analyst. I learned about Disco during that training. With this Coursera-course I wanted to know more in detail about procesmining.

Though it was quite jejune and theoretical sometimes I found it interesting and doable enough. With the exams, practising and assignment alltogether I feel it did come to live as well. So I made it to the end and feel happy and proud to complete this course. Many thanks to the team om TU/e!

The course accomplish with its own commitment as introductory level for this useful growing tendency for process analysis using datadriven with various practical assignments, welldone explained by the professor and easy for understand from simple examples until the one´s more difficult . i liked a lot that you can use software and make simulations with real data, besides excellent complement with its book where you can go in deep about topics .

This course introduces the concept and basic principles of process mining extremely well to the user. It stimulates you to go looking for new analyses to improve business processes and gets you thinking about potential applications in your work space.

The course is simple enough for beginners, yet gives enough detail to be able to start implementation of process mining.

This has been one of my favourite courses in Coursera. I thought it was very well organized and I greatly appreciated the attention that was given to using the tools. I also thought the quizz and assignments allowed me to identify where I needed to put more effort and review the learning material. Overall great experience!

Very interesting topic and the course is beautifully designed. The different techniques are described in the fitting amount of detail and many examples of process mining in practice are given. Plus the two process mining tools are shown and explained so that it is possible to use them in one's one projects.