Harvard | Mr. Soldier Boy
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HEC Paris | Ms Journalist
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MIT Sloan | Mr. Michelin Man
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Stanford GSB | Mr. Airline Developer
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Harvard | Mr. Latino Banker
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GMAT -, GPA 2.9
Darden | Ms. Environmental Engineer
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Columbia | Mr. Global Healthcare
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Stanford GSB | Ms. Social Impact To Tech
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Stanford GSB | Mr. JD Explorer
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Georgetown McDonough | Mr. Automotive Project Manager
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MIT Sloan | Mr. AI & Robotics
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Tuck | Mr. Liberal Arts Military
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Stanford GSB | Mr. Social Entrepreneur
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November’s Essential Business MOOCs

Process Mining: Data science in Action


School: Eindhoven University of Technology

Platform: Coursera

Registration Link: Process Mining: Data science in Action

Start Date: November 12, 2014 (6 Weeks Long)

Workload: 4-6 Hours Per Week

Instructor: Wil van der Aalst

Credentials: van der Aalst teaches at the Eindhoven University of Technology, where he chairs the Architecture of Information Systems (AIS) group in the school’s Department of Mathematics and Computer Science. A recognized expert in business process management (BPM), process mining, and data science, he has written or edited 17 books, published over 170 journal papers, and carries an H-index of 112 on Google Scholar. .

Graded: For a $49 fee, students can earn a signed certificate of accomplishment for completing the course.

Description: Process mining “bridges the gap between traditional model-based process analysis (e.g., simulation and other business process management techniques) and data-centric analysis techniques such as machine learning and data mining.” In this course, students will study analysis techniques and models and apply them using real data sets. In addition, students will examine the three types of process mining: discovery, conformance and enhancement. The courses consists of 8-15 minute videos and readings, with students completing a peer-reviewed assignment that requires them to extract and compare data and write a summarizing report. Students will also be evaluated using weekly quizzes and a final exam.

Review: No reviews.

Additional Note: Students will need specific software to complete the course. They are also expected to have a basic understanding of statistics.