Harvard | Mr. Soldier Boy
GMAT 720, GPA 3.72
HEC Paris | Ms Journalist
GRE -, GPA 3.5
Kellogg | Mr. Concrete Angel
GRE 318, GPA 3.33
Tuck | Mr. First Gen Student
GMAT 740, GPA 3.0
Harvard | Mr. Native Norwegian
GMAT 730, GPA 4.0
Stanford GSB | Ms. CPA To MBA
GMAT 710, GPA 3.9
MIT Sloan | Mr. Michelin Man
GMAT 780, GPA 8.46/10
Stanford GSB | Mr. Airline Developer
GMAT 740, GPA 3.48
Harvard | Mr. Latino Banker
GRE 332, GPA 3.1
Stanford GSB | Mr. Lean Manufacturing
GMAT 720, GPA 3.6
Harvard | Mr. Big 4 Auditor
GMAT 740, GPA 3.55
INSEAD | Mr. INSEAD Hopeful
GMAT -, GPA 2.9
Darden | Ms. Environmental Engineer
GMAT 710, GPA 3.3
Kellogg | Mr. Go-Getter
GMAT 710, GPA 3.3
Columbia | Mr. Global Healthcare
GMAT 740, GPA 4.0
Kellogg | Mr. Innovator
GRE 300, GPA 3.75
Stanford GSB | Ms. Social Impact To Tech
GMAT -, GPA 3.5
Harvard | Mr. First Gen Consultant
GMAT 710, GPA 4.0 (First Class Honours)
Stanford GSB | Mr. JD Explorer
GRE 340, GPA 3.5
Georgetown McDonough | Mr. Automotive Project Manager
GMAT 680, GPA 3.5
NYU Stern | Mr. Honor Roll Student
GRE 320, GPA 3.1
Stanford GSB | Ms. Healthtech Venture
GMAT 720, GPA 3.5
Chicago Booth | Mr. Bank AVP
GRE 322, GPA 3.22
UCLA Anderson | Ms. Apparel Entrepreneur
GMAT 690, GPA 3.2
MIT Sloan | Mr. AI & Robotics
GMAT 750, GPA 3.7
Tuck | Mr. Liberal Arts Military
GMAT 680, GPA 2.9
Stanford GSB | Mr. Social Entrepreneur
GRE 328, GPA 3.0

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.