Table of Contents
Free online courses with ProM
We have several online courses or MOOCs (Massive Open Online Courses) running on the topic of process mining. To help you pick which one to follow (first), the three courses are compared in the table below.
|Aspect||Process mining: Data science in action||Introduction to Process mining with ProM||Process mining in healthcare|
|Free to follow?||YES||YES||YES|
|Year of publication||2014 (update in 2016)||2016||2017|
|Main focus||Theory & concepts||Practical use of ProM||Application in healthcare|
|Summary||Complete explanation of process mining, including in detail how algorithms work||Practical oriented explanation of the process mining tool ProM, with 'need to know' explanation on how algorithms work||Application oriented explanation of how process mining is applied / can be applied in the healthcare environment|
|Can I get a certificate?||Yes||Yes||Yes|
|Main teacher||prof.dr.ir. Wil van der Aalst||dr.ir. Joos Buijs||dr.ir. Joos Buijs|
|When can I start||Continously and regular sessions||The FutureLearn courses are open for the majority of the year but we run a new session 4 or 5 times a year|
|Length||6 weeks of 3-5 hours each||4 weeks of 3 hours each||4 weeks of 4 hours each|
|Types of assessment||In-video quizzes, tests, peer assignment||Quizzes, tests, peer assignment, discussion||Quizzes, tests, discussion|
Can I follow these courses in any order? Yes you can! They are set up to be self-contained as well as distinct from each other. You can start from the theories to ProM to healthcare, or the other way round, or start with the tool and then understand the theories behind it and then the application. In this case there is no process, only parallelism!
Process Mining: Data science in Action
The course explains the key analysis techniques in process mining. Participants will learn various process discovery algorithms. These can be used to automatically learn process models from raw event data. Various other process analysis techniques that use event data will be presented. Moreover,the course will provide easy-to-use software, real-life data sets, and practical skills to directly apply the theory in a variety of application domains.