Jul 02, 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.
Dec 10, 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.
por Jani L•
Oct 19, 2016
Good balance between the more detailed technical stuff and general overview and background. Good quizzes, challenging and relevant to weekly content.
por Anoop M•
Nov 27, 2019
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.
por Marcin M•
Sep 01, 2019
Very interesting course and well done. Descriptions, presentation, and slides are clear. I would for sure search for more courses in this field.
por Jason M C•
Jun 02, 2016
An exceptional class that covers a very complex topic in a digestible and usable way. It's a good balance between concept and application.
por Stephen v G•
Aug 18, 2019
Complex material, but presented in an understandable way. Assignment was practical. Good integration with open source software packages.
por Tapio H•
Dec 13, 2017
Enough but not too much challenge. Surprisingly not so difficult mathematically either. Difficulty between weeks could be more balanced.
por Gelsomina C•
May 02, 2017
This course is very interesting! A lot of things that I have learnt can be applied to all day life.
The teacher is very nice and clear!
por Bart V d W•
Jan 26, 2018
Very clear and thorough explanation of the important concepts of process mining, with enough room for exercises and hands-on practice
por Maros K•
Feb 15, 2019
Great course, it covers basics of process mining, from petri net, over pm algoritms to steps how to do process mining on real data.
por Caio C d V•
Nov 13, 2017
Very useful for those that are seeking knowledge about how to improve processes. I'll use it in my doctorate and also in my work!!!
por Lu Z•
Sep 10, 2019
Very high-quality course. It is an intermediate level course, so expect some difficulty learning this. But it totally worth it.
por Mariano A M•
Jul 24, 2017
Very well thought and laid out course. Examples throughout the lectures clearly illustrate what the Professor wants to convey.
por Gad A•
Apr 16, 2019
Excellent course, it provided insights into large sets of Data and their structuring, which had not been explored before.
por Kerim A•
Apr 18, 2019
very informative, amazing content, and definitely worth it. Thanks for offering such an awesome learning opportunity...
por Sergei M•
Sep 15, 2017
All my expectations were achieved. I like approach of these course, theory was not boring. A lot of practice.
por Marcela G•
Nov 16, 2016
Excellent course about Process Mining, it's explained all meant to understand process discovery with Data analysis.
por Frank G•
Jan 15, 2017
这门课程十分理论知识丰富，又贴近实际应用，很棒。This course is really fantastic, it both has wonderful academical and practical knowledge.
por Yuting H•
Jan 23, 2020
It's a great and well-structured course that I can gain fundamental knowledge of process mining quickly. Thanks!
por Greg L•
Jan 05, 2017
very comprehensive. well structured. good pace, I would recommend having the book for reference/research.
por Carlos D•
Aug 22, 2019
Outstanding!. Very well structured, The questions inside lectures really help you to get into the topic
por Alix C•
Mar 29, 2018
Easy to understand and very comprehensive. Examples are challenging but help to understand everything.
por Marcin N•
Feb 02, 2020
Great introduction into process mining. Excellent examples illustrating the theory. Time well spent!
por Szedelényi J•
Jun 02, 2017
Guides through the fundamentals of process mining and provide hands-on skills to apply right away.
por Philip S•
Dec 09, 2019
Very useful course for all data analytics fans that want to know how process mining tools work.
por Arash D S•
Sep 21, 2018
This course was fantastic and I learn a lot of new ideas about data and understanding of data.