RK
Jul 1, 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.
PP
Dec 9, 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.
By Niyi O
•Apr 21, 2017
Brilliant course. Would fully recommend
By Evgeny I
•Jun 11, 2017
Rather complicated but great course
By 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.
By Radu - A C
•Jul 13, 2019
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.
By Testing
•Apr 22, 2021
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.
By Marcus B
•Mar 27, 2019
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.
By Tom T
•Oct 7, 2021
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.
By Paulien L
•Jun 10, 2019
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!
By Subendhu D
•Feb 26, 2024
Generally very informative, with a great mix of theory and application. Some of the example walkthrough's could have been a little more detailed, especially when working on the later modules with with more advanced subjects. But having the material available to re-review made for an overall worthwhile experience. It would be good (more of a Coursera observation than for this specific course) if it were possible to have certification badges that could easily be added to email signatures.
By christian J c g
•Aug 3, 2019
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 .
By Tatiana D C
•Apr 23, 2024
I highly recommend this course to a large variety of listeners. The course provides a lot of useful information and examples related to processes in general and process mining from the very basics to the practical application. The material is perfectly prepared and very well explained. The graded assessments are of medium difficulty in average, but they still require to listen and understand the course.
By Rinus F
•Dec 19, 2019
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.
By Gabriela M D
•Nov 30, 2022
Es el mejor curso que he realizado. Se aborda un tema muy interesante y novedoso, que me ha brindado una mejora indudable a nivel profesional como ingeniera industrial. El profesor explica con ejemplos prácticos y de forma muy clara, y el alcance del curso es amplio a pesar de ser un tema bastante extenso. ¡Felicidades al equipo y muchas gracias por ofrecer el curso!
By Deleted A
•Dec 25, 2020
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.
By João D V
•Aug 7, 2019
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!
By Dominik S
•Jul 28, 2018
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.
By Rodrigo C
•Apr 1, 2018
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".
By simofura
•Sep 20, 2016
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.
By 李正锋
•Feb 20, 2021
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.
By Michelle T
•Apr 24, 2018
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!
By Robin C
•Aug 16, 2020
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!!!
By Laurin B
•Jun 30, 2023
Very nice introduction into the topic of Process Mining. The structure of the videos with always incentivized the student to think about a solution on their own. I also liked how process mining was compared/connected to other related fields such as data mining, data science and BI.
By Mikel B
•Aug 13, 2021
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 :)
By M. C
•Mar 7, 2021
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.
Thank you!
By Zahrah N M
•Jun 9, 2021
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!