About this Course

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Learner Career Outcomes

25%

started a new career after completing these courses

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got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
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Flexible deadlines
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Intermediate Level
Approx. 22 hours to complete
English
Subtitles: French, Portuguese (Brazilian), Russian, English, Spanish

Skills you will gain

Petri NetProcess ModelingProcess MiningData Mining

Learner Career Outcomes

25%

started a new career after completing these courses

32%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 22 hours to complete
English
Subtitles: French, Portuguese (Brazilian), Russian, English, Spanish

Offered by

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Eindhoven University of Technology

Syllabus - What you will learn from this course

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Week
1

Week 1

6 hours to complete

Introduction and Data Mining

6 hours to complete
18 videos (Total 228 min), 7 readings, 2 quizzes
18 videos
1.1: Data Science and Big Data16m
1.2: Different Types of Process Mining21m
1.3: How Process Mining Relates to Data Mining20m
1.4: Learning Decision Trees26m
1.5: Applying Decision Trees20m
1.6: Association Rule Learning18m
1.7: Cluster Analysis13m
1.8: Evaluating Mining Results14m
Introducing Fluxicon & Disco10m
Real Life Session 01: The Demo Scenario (7 min.)7m
Real Life Session 02: Process Discovery and Simplification (11 min.)10m
Real Life Session 03: Statistics, Cases and Variants (8 min.)7m
Real Life Session 04: Bottleneck Analysis (7 min.)7m
Real Life Session 05: Compliance Analysis (6 min.)5m
Real Life Session 06: Tip 1 - Keep Copies of your Analyses (4 min.)4m
Real Life Session 07: Tip 2 - Take Different Views on your Process (7 min.)7m
Real Life Session 08: Tip 3 - Exporting Results (4 min.)4m
7 readings
Welcome to Process Mining: Data Science in Action10m
The Forum is your (Extended) Classroom10m
Process Mining: Data Science in Action Getting Started!10m
[Extra] The data used in the lectures10m
How is Process Mining Different from Data Mining?10m
Quick Note Regarding Quizzes in this Course10m
Real-life Process Mining Session10m
2 practice exercises
Quiz 130m
Real-life Process Mining Session Quiz (Not for points)30m
Week
2

Week 2

4 hours to complete

Process Models and Process Discovery

4 hours to complete
8 videos (Total 159 min), 1 reading, 2 quizzes
8 videos
2.2: Petri Nets (1/2)16m
2.3: Petri Nets (2/2)17m
2.4: Transition Systems and Petri Net Properties20m
2.5: Workflow Nets and Soundness16m
2.6: Alpha Algorithm: A Process Discovery Algorithm25m
2.7: Alpha Algorithm: Limitations23m
2.8: Introducing ProM and Disco25m
1 reading
Using Event Data to Tear Down the Towers of Babel in Process Management10m
2 practice exercises
Quiz 230m
Tool Quiz30m
Week
3

Week 3

3 hours to complete

Different Types of Process Models

3 hours to complete
8 videos (Total 145 min), 1 reading, 1 quiz
8 videos
3.2: On The Representational Bias of Process Mining16m
3.3: Business Process Model and Notation (BPMN)15m
3.4: Dependency Graphs and Causal Nets21m
3.5: Learning Dependency Graphs21m
3.6: Learning Causal nets and Annotating Them18m
3.7: Learning Transition Systems14m
3.8: Using Regions to Discover Concurrency18m
1 reading
Process Mining in the Large: Smart Data Scientists Are More Important Than Big Computers!!10m
1 practice exercise
Quiz 330m
Week
4

Week 4

4 hours to complete

Process Discovery Techniques and Conformance Checking

4 hours to complete
8 videos (Total 129 min), 1 reading, 2 quizzes
8 videos
4.2: Alternative Process Discovery Techniques22m
4.3: Introduction to Conformance Checking11m
4.4: Conformance Checking Using Causal Footprints10m
4.5: Conformance Checking Using Token-Based Replay14m
4.6: Token Based Replay: Some Examples15m
4.7: Aligning Observed and Modeled Behavior18m
4.8: Exploring Event Data20m
1 reading
Conformance Checking: Positive and Negative Deviants10m
1 practice exercise
Quiz 430m

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