RK
1 juil. 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
9 déc. 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.
par Ahmed E
•2 févr. 2019
it's amazing <3
par Francisco I S R
•21 déc. 2018
Great course!
par Helena F L
•25 nov. 2018
Great course.
par Cafer D
•31 oct. 2017
I like that
par Rami A T
•21 juin 2017
Rich course
par Carlos B S
•8 juin 2021
Very good.
par Gustavo M
•27 avr. 2020
Very good!
par Angeliki K
•25 avr. 2020
Very good!
par Ignacio O E
•6 mars 2020
Amazing!!!
par Pablo I R P
•25 oct. 2017
Excelente!
par Joonas S
•20 mars 2022
Loved it!
par Cleyton N d O
•24 mai 2020
Excelent!
par Hemant K
•30 oct. 2019
awesome
par Yuvaraj
•18 sept. 2018
helpful
par Alejandro
•12 nov. 2017
Great!
par Tobias G
•23 juil. 2017
Superb
par Lekha
•13 févr. 2021
G
par Pavel Z
•6 mars 2017
5
par Anastasia
•17 mars 2022
Thank you for your course! I really liked it, and it was a pleasure to listen to the professor and his clear explanations. It definitely made a difference to me.
I gave four stars out of five since I reckon it could have been more practice with Disco and ProM incorporated into the course. And probably it should be done for all learners, not only for those who choose to. For sure it is a quite time consuming task for the students, but maybe week quizes could be changed, so that there are both practical and theoretical parts.
Thanks again! I enjoyed it learning with you!
par Mathijs L
•16 déc. 2020
seems that the course was updated once or twice, whereby the video is no longer up to date (example chapter of the books at the end of each course is not matching which the slides). Particular questions don't have options displayed (so you need to do a multiple-choice with all blanc answers). Very interesting course, but some chapters are hard to chew thru. Nonetheless well worked out, I am pleased with my certificate. I believe this is indeed a very promising topic for the future to be familiar with. Thank you
par Elia C
•13 mars 2017
Extremely interesting subject. The exposition is for the most part remarkably clear, though it amounts to a necessarily quick introduction to the vast variety of tecniques and tools. The student is supposed to conduct a lot of practice as self-study and experimenting. Giving 4 stars out of 5 instead of full marks only because I feel this course might work better in an extended format, going more in-depth on real cases and guiding the students through the hurdles and subtleties of such analyses.
par Wasay A
•19 déc. 2020
A very information course of a new and currently developing field of process mining. Every bit of information was elaborate and clear. As an advisory associate, it had practical benefits to my own work as well. However, the only possible thing that lacked was ways to acquire the data or cleaning it to be put into the data mining software. My practical application of the concepts taught have been greatly restricted due to that.
par José F C
•25 mai 2020
Comprehensive dive into the world of Process Mining, from the most basic concepts into advanced topics, such as applying Process Mining to live data. Unfortunately, while I leave this course with a solid foundation, I wish there were tutorial lectures dedicated to go through practical exercises (namely in ProM and/or Disco). Great course overall.
par Nathan L
•6 sept. 2020
Very detailed, thorough, and comprehensive. However, reason why I gave a 4 is because I felt some areas were a bit difficult to understand. Because I have a background in process improvement and data analytics, I was able to navigate and figure out the content, but for someone without this knowledge, it could get overwhelming.