Wil van der Aalst
Process mining is the missing link between model–based process analysis and data–oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis. Process mining bridges the gap between traditional model–based process analysis (e.g., simulation and other business process management techniques) and data–centric analysis techniques such as machine learning and data mining. Process mining seeks the confrontation between event data (i.e., observed behavior) and process models (hand–made or discovered automatically). This technology has become available only recently, but it can be applied to any type of operational processes (organizations and systems). Example applications include: analyzing treatment processes in hospitals, improving customer service processes in a multinational, understanding the browsing behavior of customers using booking site, analyzing failures of a baggage handling system, and improving the user interface of an X–ray machine. All of these …
Instructor Details
Courses : 1
Specification: Process Mining: Data science in Action
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49 reviews for Process Mining: Data science in Action
Add a review
| Price | Free |
|---|---|
| Provider | |
| Duration | 30 hours |
| Year | 2016 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
FREE
sharath –
Gives a solid foundation for the process mining concepts!! Explained in depth by a wonderful professor.
An N –
The course is a very nice introduction. I would have liked to give more additional hints to more advanced methods for an audience interested in perusing a PhD in this field. E.g. some optional implementation tasks/project would have been nice.
Klim –
The course material was very well explained during the lectures. The course gave a very good overview of the PM field and its practical applications.
Maros K –
Great course, it covers basics of process mining, from petri net, over pm algoritms to steps how to do process mining on real data.
Andrei I –
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!
Viktoriia –
I think practical tasks in ProM should be included
Brigitte V –
Very clear cource and with also learning by using real cases
Glenda –
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.
Dave v P –
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!
Bart v D –
Very well explained, provides a good basic understanding of the topic process mining.
marco m –
I recommend this course !! Good support’s material, speaking and methods.
Maximilian P –
The topics covered in the course were very interesting, though the course would have been more valuable if accompanied with python programming of case studies. Kind regards Max
UMAIR P –
Good Course
Gad A –
Excellent course, it provided insights into large sets of Data and their structuring, which had not been explored before.
Kerim A –
very informative, amazing content, and definitely worth it. Thanks for offering such an awesome learning opportunity…
Mohibullah K –
Very practical oriented course on Process Mining.
Mustafa G –
Very good course overall. I wish there was more technical lessons in the last two weeks
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!
ranjit k –
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.
AHOSSI A B –
Excellent cours, pour peu que l’on ait une fois suivi un cours de data mining, on voit tres vite une chance de se specialiser. De meme que pour un business process analyste, il en ressort une nette opportunite d’etendre son champ d’expertise.
Radu Andrei 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.
Pasqualino D N –
Very useful course. Well done and very clear.
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 .
Joao 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!
Stephen v G –
Complex material, but presented in an understandable way. Assignment was practical. Good integration with open source software packages.
Carlos D –
Outstanding!. Very well structured, The questions inside lectures really help you to get into the topic
Marcin M –
Very interesting course and well done. Descriptions, presentation, and slides are clear. I would for sure search for more courses in this field.
Lu Z –
Very high quality course. It is an intermediate level course, so expect some difficulty learning this. But it totally worth it.
mcy –
REALLY NICE! MUCH APPRECIATE!
paulo –
Excelent course!
Marlene S –
Excellent material and instructor! Thank you for sharing!
Hemant K –
awesome
Dragan V –
An excellent course, great structure and teaching with practical application.
Jose M B T –
thank for all master!!!! I will use Process Mining for my next challeger
Anoop M –
So much research has been done in BPM domain. This course gives a solid foundation in BPM to anyone who wishes to pursue a career in this domain.
Schuffenecker –
a bit academic in the beginning, but really interesting.
Mohammad H E –
Thanks to Prof.dr.ir. Wil van der Aalst.
Philip S –
Very useful course for all data analytics fans that want to know how process mining tools work.
Phil P –
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.
Sven S –
The content of the course was excellent. The Android app is a little bit poor, especially if one would do the quizzes. The pictures are not very well to watch. For some topics (e.g. Alpha Algorithm) I would have appreciated it, if you could replay an example very clearly and in a deep detail.
Nilson H P –
Excellent course!
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.
Anurag G –
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!
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.
Thibaut L –
An in depth course on Process Mining
Theo d K –
Good course, interesting subject. Sometimes examples are presented too quickly, without explaining where certain numbers come from. References to chapters in the book refer to another edition of the book (no biggie)
Yuting H –
It’s a great and well structured course that I can gain fundamental knowledge of process mining quickly. Thanks!
DHAMMA A –
NO COMPLICATIONS IN THIS COURSE
Marcin N –
Great introduction into process mining. Excellent examples illustrating the theory. Time well spent!