Stanford GSB | Mr. Healthcare AI
GRE 366, GPA 3.91
INSEAD | Ms. Social Business
GMAT 750, GPA 4.0
Harvard | Ms. Risk-Taker
GRE 310 (to retake), GPA 3 (recalculated)
HEC Paris | Ms. Freelancer
GMAT 710, GPA 5.3
Harvard | Mr. Hedge Funder
GMAT 790, GPA 3.82
Chicago Booth | Mr. Non-Profit Latino
GMAT 710, GPA 3.06
Harvard | Mr. Fresh Perspective
GRE 318, GPA 3.0
USC Marshall | Mr. Supply Chain Guru
GMAT GMAT Waiver, GPA 2.6
Kellogg | Mr. Danish Raised, US Based
GMAT 710, GPA 10.6 out of 12
Harvard | Mr. Green Energy Revolution
GMAT 740, GPA 3.4
Harvard | Mr. MPP/MBA
GRE 325, GPA 3.6
Harvard | Ms. Analytical Leader
GMAT 760, GPA 3.9
Stanford GSB | Mr. MBB to PM
GRE 338, GPA 4.0
Stanford GSB | Mr. Technopreneur
GRE 328, GPA 3.2
Berkeley Haas | Mr. Hanging By A Thread
GMAT 710, GPA 3.8
London Business School | Mr. College Dropout
GMAT 690, GPA NA
Harvard | Mr. MBB Latino Engineer
GMAT 710, GPA 3.75
Stanford GSB | Ms. Top Firm Consulting
GMAT 710, GPA 3.7
INSEAD | Mr. Truth
GMAT 670, GPA 3.2
INSEAD | Mr. Powerlifting President
GMAT 750, GPA 8.1/10
Harvard | Mr. Mojo
GMAT 720, GPA 3.3
Ross | Mr. Law To MBA
GRE 321, GPA 3.77
Stanford GSB | Mr. Failed Startup Founder
GMAT 740, GPA 4
Wharton | Mr. African Impact
GMAT 720, GPA 3.8
Harvard | Mr. Sommelier
GMAT 710, GPA 3.62
Wharton | Mr. MBA When Ready
GMAT 700 (expected), GPA 2.1
Kellogg | Mr. AVP Healthcare
GRE 332, GPA 3.3

The MOOC Revolution: The MBA Core Curriculum For Free

Statistics I

School: Princeton University

Source: Coursera

Link: Statistics I

Start Date: Not Yet Available (Held in September 2013) 

Workload: 5-8 Hours A Week (12 Weeks Long)

Instructor: Andrew Conway

Credentials: Professor Conway, who joined Princeton’s faculty in 2004, teaches statistics to undergraduate and graduate students. A senior Lecturer in the Department of Psychology who is best known for his extensive research, Conway is the Principal Investigator at Princeton’s Human Working Memory Lab. He has published over 40 works in leading journals in Psychology and Neuroscience and serves as the Associate Editor for The Journal of Cognitive Psychology.

Graded: No certificates or statements are awarded for completing this course.

Description: This course provides a broad introduction to basic statistical concepts, such as research, correlation, measurement, regression, linear models, and t-tests.  It consists of 2 weekly lectures, and one weekly application lab. It relies heavily on the R programming language, with R software available free to students. Students are evaluated through weekly assignments, a midterm, and a final exam.

Review: “The first part of the course was great. At the end the pace was too fast. Has potential to be a great course in statistics.” To read additional reviews of this course, click here.

Additional Note: This is basically an undergraduate course. The University of California at Berkeley also offers a number of statistics courses via edX, while Stanford has collaborated with Udacity to provide Introduction To Statistics.