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 Radu - A C•
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.
Having such great content for free is just amazing. I would like to thank all of the team for their effort. But I would give it a 4,5 if I could because the algorithm parts of the course was quite dull although the topic is so easy to spice up a little bit. Also another constructive feedback would be to have some more details on creating the event log. A walkthroguh together with the professor would be amazing. Because creating the log seems to be the most complicated step of the whole process since other parts are made easier thanks to tools and without the log we cant have process mining. I would really be interested if you could just show us a demo on how to create a basic log from an ERP system such as SAP.
par Marcus B•
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.
par Tom T•
Excellent course content and excellent presentation. Among the best explanations I've seen for Petri Nets, Entropy in Decision Trees, quality metrics for models, etc. Some of the topics are highly technical and require careful mathematical/logical thought and practice to learn. Overall, a good balance of theory and applications, though. Very comprehensive set of skills to understand algorithms and practical application of Process Mining. Thank you for providing all the course slides as PDF. It's great that the course offers examples from a couple different software tools, including the open-source ProM.
par Paulien L•
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!
par jhonatan c c g•
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 .
par Rinus F•
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.
par Natanael Y W•
This course provides a gentle introduction to process mining. The content was easy to grasp. Difficult parts of the course were explained succinctly and thus could shorten the learning curve. I really recommend this course as a starter for those who want to take part in the process mining community either as a researcher, business professional, etc.
par João D V•
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!
par Dominik S•
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.
par Rodrigo C•
This course is very useful. Its content give us a clear notion of process mining and how to apply it to discover the process model.
It helped me identifying real cases bottlenecks in my own process and my analysis are more data-based. This chance in my approach made my work more reliable and "to the point".
Great great course.
I'm a beginner in this matter so to me there are cases difficult to understand. One thing that could help a lot would be more exemplas of real life for each theorical concept. As done at the beginning with coffee, latte, muffin, ect.
Thanks for the energy dedicated to create this course.
I'm a postgraduate student from China, cost about 2 months nearly I have finished and learnt all the courses, I do learn enormously from these lectures. In my opinions, our country has not used the process mining, I can't find any about it almostly. I expect the future about the process mning technology.
par Michelle T•
This is a very good course for those who are interested in process mining. I continue to review and improve my understanding on each concept, and one day I will be able to reap the fruit of all the process improvements through applying this in work place. Thank you very much for offering this course!
par Robin C•
This is a brilliant course, led by a world authority on process mining who freely imparts his knowledge and presentation skills. I cannot critic it.
From a personal point of view I have learnt so much and the access to the tools makes it so tangible and valuable.
A big and sincere THANK YOU!!!
par Mikel B•
Prof. Wil van der aalst generated a nice intuition that allowed me easily to understand the complicated notation describing the covered material. By this, I can now discover the world of process mining in my ongoing activities independently, and I look forward to it. Thanks :)
par M. C•
One of the most interesting course I have ever attendend.
Professor Wil Van der Aalst is outstanding at explaining the different topics and elements of the course.
There are also some lectures and tutorials for Disco and ProM beninners, that were also very useful.
par Zahrah N M•
Very rich material with practical examples that make you appreciate the processes that constitute a workplace. As a data scientist this course brought things closer to earth. From abstract data mining to real people and situations. Kudos to the professor and his team!
It was one of the best courses I've ever passed. A well-designed course with great content and quizzes. Moreover, the professor talks fluently and clearly and made the topics easy to understand. I want to say thank you to both course instructor prof. Wil and Coursera.
In some up, I can say it's the best certificate course I have done. Everything is so well organized & planned curriculum that if you are looking forward to learning something new in this modern era then just go for it. You will not regret, mark my word if you want to!
par EUN D N•
This is an eye-opening course providing a different aspect of process analysis. After completing the course, I fully understand the concept of process discovery, conformance and enhancement, which is a core part of the business process in our business operations.
par Seyed E•
This has, by far, been the most comprehensive course that I have seen anybody instruct online. Astonishing how this level of information can be conveyed through one-way courses such as this. You'll get to get a good sense of the Dutch accent as well ;)
par Xavier B•
Clear, easy to understand, focused on cases, uses parallel pictures to describe concepts (like maps/process mining), never boring but a lot of information to acquire and a different mindset to develop. Great course, thanks a lot, happy to have succeed
par Matthias A•
Excellent course! It gives a very good introduction to process mining, a rather new data science discipline that is not yet used in many companies, and therefore has a great potential in the future. So attending this course is highly recommendable.
par Rony S•
In depth course for process mining. Anyone trying to jump into a career on Business processes, or wants to apply data science to business processes, should take this course. It is more involved than other Data Science course, so give it your all.