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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The Introduction to Process Mining with ProM course is being imparted by FutureLearn to provide the learners an understanding of process mining. This course has been developed by Eindhoven University of Technology, it is a design-oriented and research-driven university of technology. Process mining integrates business process management along with data science.
Taking the Introduction to Process Mining with ProM classes will teach the participants how to use a free, open source process mining framework to visualize, analyze, and improve processes based on data.
Participants will be able to visualize and analyze business operations based on the recorded event data of their logs. By pursuing the online Introduction to Process Mining with ProM certification programme will develop a critical and a process-centric perspective towards data, which is not possible in case of machine learning techniques or classical data mining. The Introduction to Process Mining with ProM syllabus has been designed in a manner that will develop proficiency in various process mining techniques such as social network analysis, conformance checking and performance analysis. Learners will be equipped to analyze the usage of public transportation by people, substantiate whether the bank loan application process is executed correctly, assess the learning behavior of students in a MOOC for course contents improvement and to predict when hardware parts are likely to break down.
The Highlights
- Purely online learning
- 4 weeks course duration
- 3 hours of weekly learning
- Course preview available
- Course certification by FutureLearn
Programme Offerings
- tests
- Exercises
- quizzes
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Eindhoven University of Technology, Eindhoven |
Eligibility Criteria
Certification Qualifying Details
Participants will be awarded the course certificate for the Introduction to Process Mining with ProM training upon successful completion of the course.
What you will learn
The participants of the Introduction to Process Mining with ProM certification course will have knowledge of the following:
- One can process raw event data into an event log for further analysis.
- The candidate can learn how to work with the open-source process mining tool ProM
- Understand the concept of process models
- Grasp the core process mining analysis techniques and their interpretation
- Learn how to evaluate a good process model
- Understand how to describe the process flow on the basis of event data
- Develop expertise in writing a process mining report
- Acknowledge how to how to investigate the event log and filter the event log
Who it is for
This course is beneficial for candidates who are interested in learning about:
- Business process management (BPM)
- Data science
- Process analytics.
Application Details
Candidates interested in enrolling for the Introduction to Process Mining with ProM programme can follow the steps given below:
Step1: Visit the course website for further information https://www.futurelearn.com/courses/process-mining
Step2: Click on “Email me when I can join”.
Step3: Registration with FutureLearn is required to proceed further.
Step4: Post registration, the course will be added to your wishlist.
Step5: Candidates will be informed regarding the enrolment procedure and dates for the course.
The Syllabus
- Introduction
- ProM lite
- Event logs
- Converting data into an event log
- Exploring and filtering event logs
- Week 1 closing
- Process models
- Process discovery and process model quality
- The Alpha miner
- The Heuristics miner
- Inductive miner
- Fuzzy miner
- Week 2 closing
- Conformance checking
- Performance analysis
- Social network analysis
- Process mining case studies
- Overview of process mining activities and process types
- Week 3 closing
- Event log exploration and filtering
- Process discovery and conformance checking
- Further process analysis
- Week 4 & course closing