Emory Goizueta | Ms. Athlete To Consulting
GMAT 655, GPA 3.89
NYU Stern | Mr. Structural Engineer A
GMAT 680, GPA 3.3
MIT Sloan | Ms. Engineering + Extracurriculars
GMAT 695, GPA 3.45
Harvard | Ms. Impact Consultant
GRE 317, GPA 7.630
Kellogg SOM | Mr. Fertilizer Financier
GMAT 735 GMAT Focus, GPA 3.85
Harvard | Ms. Indian Engineer
GMAT 760, GPA 3.5
Wharton | Mr. Private Equity
GMAT 730, GPA 3.2
HEC Paris | Ms. M&A Lawyer
GMAT 700, GPA 3.5
Stanford GSB | Ms. UK In the USA
GMAT 720, GPA 1st class (UK scoring)
Kenan-Flagler | Mr. Do I Have A Shot?
GMAT EA: 151, GPA 3.1
Chicago Booth | Ms. Tech4Good
GMAT 760, GPA 3.76
Columbia | Mr. Underdog
GMAT 695 GMAT Focus (750 Legacy GMAT equivalent), GPA 2.85
McCombs School of Business | Mr. Big Pharma
GRE N/A, GPA 3.1
Kenan-Flagler | Mr. Non-Traditional Undergrad
GMAT 660, GPA 2.9
Kellogg SOM | Ms. Talent Acquisition
GRE 316, GPA 3.6

Guide To The Best MOOC Courses in Business

by: John A. Byrne on October 05, 2012 | 60,089 Views

Stanford University’s Sebastian Thrun

Intro to Statistics: Making Decisions Based on Data

Statistics is about extracting meaning from data. In this class, we will introduce techniques for visualizing relationships in data and systematic techniques for understanding the relationships using mathematics.

Instructor: Sebastian Thrun is a Research Professor of Computer Science at Stanford University, a Google Fellow, a member of the National Academy of Engineering and the German Academy of Sciences. Thrun is best known for his research in robotics and machine learning, specifically his work with self-driving cars.

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