Mastering process analytics with bupaR

In this course, you will be introduced to process data, process analysis, and get right to work with process data in R in several case studies using bupaR, the state-of-the-art toolset for process analysis in R. Processes occupy an indispensable role in our daily lives. Your actions and those of others generate a vast amount of data. Whether you order a book, a train crosses a red light, or your thermostat heats your bathroom, millions of events occur every second and are stored in data centers around the world. These huge sets of process data can be used to gain insight into processes in a virtually unlimited range of application areas. However, the analysis of this data requires its own set of specific formats and techniques.

Interactive. Hands-on. Remote. Directly applicable.

The bupaR Masterclass is a fully remote course, allowing every professional to learn how to master process analytics with bupaR, no matter where you are located. However, you will not be able to sit back and relax behind your screen. Organized in groups of 10 to 15, this course is specifically designed to be interactive and hands-on. From the very start in Module 1, you will get to work with process data. At the end of Module 10, you will be able to write sophisticated analysis scripts to answer complex questions.

This masterclass is aimed at professionals who want to gain insights from data about their business processes, but do not necessarily have specific prior knowledge of programming. The course promotes working with bupaR as a process analysis tool and teaches you the necessary techniques to explore processes, visualize them and report on results. The target audience of the course are data scientist, business analysts, process analysts, data analysts, Business Intelligence (BI) developers, marketing intelligence analysts, and all others who can benefit from process-oriented analysis skills.

After following this program:

  • You will have a clear picture of the different analysis types and perspectives of process mining.
  • You will be familiar with the tools for process analytics provided by bupaR.
  • You will be able to answer complex, multi-perspective process analysis questions.
  • You can independently analyze an event log.


The bupaR Masterclass consist of 10 Module of 2 hours, organized over a period of 5 weeks.

  • Module 1: Introduction to Process Mining
  • Module 2: Process data in R
  • Module 3: Control-flow analysis
  • Module 4: Performance & organization
  • Module 5: Event log building
  • Module 6: Advanced process analytics I
  • Module 7: Advanced process analytics II
  • Module 8: Conformance Checking
  • Module 9: Automated Process discovery
  • Module 10: Process prediction.

R knowledge

Other than the technical requirements listed below, there are no specific R prerequisites for following this course. Experience with R, or any other programming language, is a plus but not required. On request, introductory materials on R can be provided in order to prepare for the masterclass.

Intermediate Track

Do you already have some experience with using bupaR, and are ready to up your game and do more advanced analytics? You can enroll for the Intermediate Track option, thereby joining the Masterclass from Module 5 onward. A brief introduction session to refresh bupaR-basics is included.

Not sure whether your programming skills will be sufficient, or whether you qualify for the Intermediate Track? Contact us by mail, or schedule an intake session with the course instructor.

About the instructor

The bupaR Masterclass is taught by Gert Janssenswillen, the creator and lead maintainer of bupaR.


  • R installation + R IDE of choice
  • GitHub account, for sharing course materials and real-time collaboration
  • [Advised] A dual monitor setup

Detailed installation instructions will be shared with you upon enrollment.


Western EuropeUS East Coast
Module 1September 23, 20243.30pm-5.30pm9.30am-11.30am
Module 2September 26, 20243.30pm-5.30pm9.30am-11.30am
Module 3September 30, 20243.30pm-5.30pm9.30am-11.30am
Module 4October 3, 20243.30pm-5.30pm9.30am-11.30am
Module 5October 28, 20243.30pm-5.30pm9.30am-11.30am
Module 6October 31, 20243.30pm-5.30pm9.30am-11.30am
Module 7November 4, 20243.30pm-5.30pm9.30am-11.30am
Module 8November 7, 20243.30pm-5.30pm9.30am-11.30am
Module 9November 18, 20243.30pm-5.30pm9.30am-11.30am
Module 10November 21, 20243.30pm-5.30pm9.30am-11.30am

Enrollment fee

Full trackRegular€1600
Early bird (before 15-08-2024)€1200
Student / Academic€800
Early bird (before 15-08-2024)€750
Student / Academic€500