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Introduction to Process Mining with ProM

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Introduction to Process Mining with ProM
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Introduction to Process Mining with ProM
The course Introduction to Process Mining with ProM is an online class provided by Eindhoven University of Technology through Future Learn. It may be possible to receive a verified certification or use the course to prepare for a degree.

Learn how to use the free, open source process mining framework (ProM) to analyse, visualise, and improve processes based on data.

Course description
  • Learn to get a critical, process-centric perspective on data
  • 4 weeks
  • Process mining combines business process management with data science. Using process mining, you can analyse and visualise business processes based on event data recorded in event logs. For example, you could analyse how people use public transportation; verify whether a loan application is processed correctly by a bank; or predict when hardware parts are likely to fail. This online course will give you an introduction to this new and exciting field.
  • analyse how people use public transportation;
  • verify whether the loan application process in a bank is executed correctly;
  • gain insights in customer journeys on a website and combine this with interactions on different channels such as phone and e-mail;
  • analyse learning behaviour of students in a MOOC to improve course contents;
  • predict when hardware parts are likely to fail.
  • work with the free and open source process mining tool ProM;
  • process raw event data into an event log for further analysis;
  • execute core process mining analysis techniques, and correctly interpret the results;
  • gain concrete and actionable process insights from (their own) event data.
  • Identify event data suitable for analysis
  • Apply various process mining techniques in the ProM lite tool to event logs
  • Interpret the results of various process mining techniques in the ProM lite tool
  • Describe the process flow, based on the event data
  • Improve processes based on process mining analysis of the event data
  • This course is designed for anyone with an interest in business process management (BPM), data science and/or process analytics. No specific prior knowledge is required, only a healthy interest is required.
  • We do however require you to have a computer with internet access ready on which you can install and use ProM. Please refer to www.promtools.org for more information regarding ProM.
  • Eindhoven University of Technology
  • Eindhoven University of Technology (TU/e) is a research-driven, design-oriented university of technology with a strong international focus. The university was founded in 1956 and has 8,500 students.
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Prerequisites & Facts

Introduction to Process Mining with ProM

Course Topic

Business, Data Analytics, Decision Making

University, College, Institution

Eindhoven University of Technology

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Introduction to Process Mining with ProM

To obtain a verified certificate from Future Learn / Eindhoven University of Technology you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Eindhoven University of Technology
Introduction to Process Mining with ProM
provided by Future Learn
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Here you can find information, reviews and user experiences for the course “Introduction to Process Mining with ProM“. The provider of the course – “Eindhoven University of Technology” – will be glad to answer any questions you may have about the class, click here to use the offical support channels. It would be great if you could share your experience of participating in the course – Your honest review will surely help others to choose the right class!
School: Eindhoven University of Technology
Topic: Business & Management, Data Analytics, Data Science, Science, Engineering & Maths

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