Harvard | Mr. UHNW Family Office
GMAT 730, GPA 4.0
Harvard | Mr. Captain Mishra
GMAT 760, GPA 4.0
Harvard | Mr. Certain Government Guy
GMAT 720, GPA 3.3
Stanford GSB | Ms. Eyebrows Say It All
GRE 299, GPA 8.2/10
Stanford GSB | Mr. Hopeful B School Investment Analyst
GRE 334, GPA 4.0
Berkeley Haas | Mr. Stuck Consultant
GMAT 760, GPA 3.6
MIT Sloan | Mr. Mechanical Engineer W/ CFA Level 2
GMAT 760, GPA 3.83/4.0 WES Conversion
Wharton | Mr. Asset Manager – Research Associate
GMAT 730, GPA 3.6
Kellogg | Mr. Community Involvement
GMAT 600, GPA 3.2
Chicago Booth | Mr. International Banker
GMAT 700, GPA 3.4
MIT Sloan | Mr. South East Asian Product Manager
GMAT 720, GPA 3.6
Harvard | Ms. Hollywood To Healthcare
GMAT 730, GPA 2.5
Stanford GSB | Ms. Investor To Fintech
GMAT 750, GPA 3.8
Kellogg | Mr. Structural Engineer
GMAT 680, GPA 3.2
Darden | Mr. Anxious One
GRE 323, GPA 3.85
Ross | Mr. Saudi Engineer
GRE 312, GPA 3.48
Harvard | Ms. Consumer Sustainability
GMAT 740, GPA 3.95
Columbia | Ms. Retail Queen
GRE 322, GPA 3.6
Tuck | Ms. Confused One
GMAT 740, GPA 7.3/10
NYU Stern | Mr. Health Tech
GMAT 730, GPA 3.0
Stanford GSB | Mr. Low GPA To Stanford
GMAT 770, GPA 2.7
Cornell Johnson | Mr. Regulator To Private
GMAT 700, GPA 2.0
Harvard | Mr. Air Force Seeking Feedback
GRE 329, GPA 3.2
MIT Sloan | Mr. Spaniard
GMAT 710, GPA 7 out of 10 (top 15%)
Harvard | Ms. Marketing Family Business
GMAT 750- first try so might retake for a higher score (aiming for 780), GPA Lower Second Class Honors (around 3.0)
Stanford GSB | Mr. Deferred MBA Candidate
GMAT 760, GPA 4.0
Berkeley Haas | Mr. Colombian Sales Leader
GMAT 610, GPA 2.78

Essential Business MOOCs In August

Knowledge Management and Big Data in Business


School: Hong Kong Polytechnic University (Knowledge Management and Innovation Research Center –KMIRC)

Platform: edX

Registration Link: Knowledge Management and Big Data in Business

Start Date: August 25, 2015 (6 Weeks Long)

Workload: 4-6 Hours Per Week

Instructors: Eric Tsui, W.B. Lee, Klaus Tochtermann, Usama Fayyad, Jay Lee

Credentials: The instructors come from a variety of backgrounds. Dr. Fayyad, a holder of 30 patents, is the chief data officer and managing director of Barclays Bank in London. Jay Lee teaches at the University of Cincinnati and is a founding member of the National Science Foundation. Tochtermann has published over 200 peer-reviewed papers and serves as the director of the Leibniz Information Centre for Economics (along with teaching) at the University of Kiel in Germany. W.B. Lee chairs the Industrial and Systems Engineering Department at Hong Polytechnic, where Tsui is a professor.

Graded: Students can receive a verified certificate for $50, provided they meet all expectations for the course.

Description: “Too big, too fast.” That’s how some might characterize the proliferation of knowledge and data in recent years. However, knowledge is often unstructured, contradictory, and rarely explicit, precise, or clear. In this course, which is designed more for knowledge workers than IT professionals, students will be exposed to the growing field of knowledge management. In particular, students will examine areas like cloud computing, big data, and open-linked data – and the tools being applied to better understand cause-and-effect and discover hidden relationships.

Overall, the course comes with five goals:

1) “Understand the role of Knowledge Management (KM) practitioners in creating business value.

2) Become familiar with the techniques and tools for capturing, processing, classifying and organizing knowledge.

3) How to analyze large quantities of data and information through analytics.

4) Understand the role of social media and technologies in innovating new business services.

5) Apply the principles you have learnt to company-based business projects.”

Review: No reviews.

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