The profession of future
In 2019, Gartner published a market guide for Process Mining. To take the first steps into this promising, exciting field, check out the courses taught by the pioneers.
Process Mining: Data science in Action
Created by: Wil. van der Aalst

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.

After taking this course, you should
Have a good understanding of Business Process Intelligence techniques (in particular process mining).
Understand the role of Big Data in today’s society.
Be able to relate process mining techniques to other analysis techniques such as simulation, business intelligence, data mining, machine learning, and verification.
Be able to apply basic process discovery techniques to learn a process model from an event log (both manually and using tools).
Be able to apply basic conformance checking techniques to compare event logs and process models (both manually and using tools).
Be able to extend a process model with information extracted from the event log (e.g., show bottlenecks).
Have a good understanding of the data needed to start a process mining project.
Be able to characterize the questions that can be answered based on such event data.
Explain how process mining can also be used for operational support (prediction and recommendation).
Be able to conduct process mining projects in a structured manner.
Other courses
Process Mining as the Bridge between Process Science and Data Science
Wil. van der Aalst

The first audio course on process mining is now available from listenable. In less than 75 minutes, you get introduced to the wonderful world of process mining.

Introduction to Process Mining with ProM
Eric Verbeek, Joos Buijs

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

Academic Alliance
Celonis
Fundamentals of BPM
Marlon Dumas, Marcello La Rosa, Jan Mendling, Hajo A. Reijers
ARIS
SOFTWARE AG

Explore and deep-dive into the practice of business process management and learn how to structure, document, analyze and transform your business and IT architectures. Digital transformation made easy with ARIS capabilities.

Minit Academy
minit
myInvenio Academy
myInvenio
PAFnow Training
PAFnow

The PAFnow training optimally prepares you to independently analyze your business processes with PAFnow, to create your own evaluations and to sustainably improve your processes.

UiPath Academy
UiPath
A Step-by-Step Introduction to Process Mining
Open HPI

The goal of this online course is to provide a general understanding of the concepts and techniques behind process mining.

Business Process Analytics
Blue courses

This course provides the essential foundation for those who want to get started with business process analytics in order to improve business processes in an objective and data-driven manner.

Business Process Analytics in R
Data camp

Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.

Process analytics met R
Uhasselt