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RWTHx: A Hands-On Introduction to Process Mining

Compact course to learn the basics of Process mining. After this course, you will understand the concepts and you will be able to analyze event data. Using the provided software, you can immediately start improving any operational process.

A Hands-On Introduction to Process Mining
5 weeks
3–5 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

There is one session available:

After a course session ends, it will be archivedOpens in a new tab.
Starts Apr 1
Ends Dec 11

About this course

Skip About this course

Process mining is an exciting new technology that enables organizations to improve operational processes in a data-driven manner. Process mining can be applied in logistics, finance, production, sales, and healthcare. This hands-on course explains the key concepts and techniques in process mining. You will learn about automated process discovery, conformance checking, performance analysis, and applications of machine learning to event data. The theoretical concepts learned are tool and application-independent. However, to be able to apply these concepts, the course provides several data sets and access to the Celonis process mining software. After taking this compact course, participants understand current trends in process management and automation, know the key process discovery and conformance checking algorithms, and can apply these to real-life data sets using the Celonis software. Moreover, it is clear how comparative and predictive process mining techniques can be used to perform root cause analysis of performance and compliance problems in any domain.

At a glance

  • Institution: RWTHx
  • Subject: Computer Science
  • Level: Introductory
  • Prerequisites:
    • Secondary school (high school) algebra; basic mathematics concepts

    • Basic Understanding of processes, process inefficiencies and their impact on business

  • Language: English
  • Video Transcript: English

What you'll learn

Skip What you'll learn
  • Understand and apply process discovery techniques

  • Understand and apply conformance checking techniques

  • Process modeling techniques such as DFGs, BPMN, and Petri nets

  • Extracting event data for process mining

  • Compare and analyze operational processes

  • Know the connection between process mining, data science, and machine learning

  • Know the connection between process mining, process science, automation, and process management

  • Use the Celonis process mining software using your own data sets

Week1: Welcome and basic concepts

  • Overview of the Process Mining Field and Basic Concepts
  • Introduction to Celonis Tool

Week2: Process discovery

  • Process Discovery and Directly-Follows Graphs * Discover Sophisticated Process Models (introduction to inductive miner and different process modeling notations)

Week3: Conformance checking

  • Alignment-Based Conformance Checking * Footprint-Based Conformance Checking * Token-Based Replay Conformance Checking

Week4: Process Analysis

  • From Traditional Event Logs to Object-Centric Event Logs * Comparative and Predictive Process Mining

Week5: Closing and Final Quiz

  • Closing Talk * Theoretical and Hands-on Final Exam (verified track)

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