Course : Introduction to Process Mining with ProM

FutureLearn

Programme Description

Course : Introduction to Process Mining with ProM

FutureLearn

Learn to get a critical, process-centric perspective on data

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.

What topics will you cover?

Process mining provides a critical, process-centric perspective on data, which is not available with classical data mining or machine learning techniques. For example, with process mining you can:

  • analyse how people use public transportation;
  • verify whether the loan application process in a bank is executed correctly;
  • gain insights into 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.

Week 1 introduced process mining and showed that event data is everywhere. Furthermore, it explained how you can translate event data that you might have for use in our tool. We also discussed how to start investigating the event log and how to filter the event log based on these insights for further analysis.

Week 2 discussed process models and how to evaluate how good a process model is with respect to the data. We also demonstrated several techniques to automatically learn a process model from the data and discussed the pros and cons of each approach.

Week 3 covered additional process mining techniques such as conformance checking, performance analysis and social network analysis. This week also showed process mining application examples.

Week 4 provided learners with time to work on the peer assignment where they were asked to write a real process mining report on real-life event data.

After this course learners can:

  • 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.

What will you achieve?

By the end of the course, you'll be able to...

  • 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

Who is the course for?

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 assumed, 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.

This school offers programs in:
  • English
FutureLearn

Last updated January 19, 2018
Duration & Price
This course is Online
Start Date
Start date
Jan. 2019
Feb. 2019
Duration
Duration
Part time
Price
Price
Free
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Deadline
Locations
United Kingdom - UK Online
Start date : Jan. 2019
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Start date : Feb. 2019
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Dates
Jan. 2019
United Kingdom - UK Online
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End date Request Info
Feb. 2019
United Kingdom - UK Online
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