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 schoolā€™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 ā€œbridges 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.ā€ 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.

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