Cornell Johnson | Mr. FinTech Startup
GMAT 570, GPA 3.4
Stanford GSB | Ms. Future Tech Exec
GMAT 750, GPA 3.4
Stanford GSB | Mr. Sustainable Business
GRE 331, GPA 3.86
Stanford GSB | Mr. FinTech
GMAT Not Taken Yet, GPA 3.5
UCLA Anderson | Mr. Analytics Man
GMAT 740, GPA 3.1
Harvard | Mr. Hopeful Philanthropist
GMAT 710, GPA 3.74
Harvard | Mr. MacGruber
GRE 313, GPA 3.7
Darden | Ms. Teaching-To-Tech
GRE 326, GPA 3.47
Rice Jones | Mr. Back To School
GRE 315, GPA 3.0
Wharton | Mr. Microsoft Consultant
GMAT N/A, GPA 2.31
Yale | Mr. Ukrainian Biz Man
GRE 310, GPA 4.75 out of 5
Chicago Booth | Mr. Future Angel Investor
GMAT 620, GPA 3.1
Wharton | Ms. Software Engineer
GMAT 760, GPA 3.84
Harvard | Mr. PE Strategist
GRE 326, GPA 3.6
Harvard | Mr. FBI To MBB
GMAT 710, GPA 3.85
Harvard | Mr. MBB Consultant
GMAT 730, GPA 3.9
Yale | Ms. Impact Investing
GRE 323, GPA 3.8
Chicago Booth | Mr. Cal Poly
GRE 317, GPA 3.2
Darden | Ms. Business Reporter
GMAT 2150, GPA 3.6
Darden | Mr. Former Scientist
GMAT 680, GPA 3.65
Harvard | Ms. IB Deferred
GMAT 730, GPA 3.73
Harvard | Mr. Amazon Manager
GMAT 740, GPA 3.2
Kellogg | Mr. Military In Silicon Valley
GMAT 720, GPA 3.0
Harvard | Mr. E-Sports Coach
GRE 323, GPA 5.72/10
Wharton | Ms. PMP To MBA
GMAT 710, GPA 3.72
Columbia | Mr. CPA
GMAT 720, GPA 3.5
Harvard | Mr. Health Clinic Founder
GRE 330, GPA 3

Essential Business MOOCs for September

Data Analysis and Statistical Inference

 

School: Duke University

Platform: Coursera

Registration Link:Data Analysis and Statistical Inference

Start Date: September 1, 2014 (10 Weeks)

Workload: 8-10 Hours Per Week

Instructor: Dr. Mine Çetinkaya-Rundel

Credentials: Dr. Çetinkaya-Rundel teaches data analysis and statistical consulting courses to undergrads at Duke University. The co-author of OpenIntro Statistics, Çetinkaya-Rundel is also the co-editor of the Citizen Statistician blog and produces a monthly column in Chance magazine. She earned her Ph.D. at UCLA, where she also taught from 2009-2011.

Graded: Students can earn a Certificate of Achievement for meeting basic requirements or a Verified Certificate for completing additional coursework. Students who earn a Verified Certificate are also eligible to receive a Specialization Certificate in Reasoning, Data Analysis and Writing after taking a series of MOOC courses in this field.

Description: In this course, students will learn how to collect, analyze, and apply data “to make inferences and conclusions about real world phenomena.” An introductory course, it focuses on traditional methods for conducting research, formulating and testing hypotheses, designing studies, identifying relationships between variables, comparing data sets, and making decisions based on probabilities. It will also cover more recent concepts like visualizations and simulations, with an emphasis on making conclusions reproducible. Students will learn from 5-10 minute video lectures, coupled with quizzes and exercises. To earn a Verified Certificate, students must complete a capstone project (an analysis of real data sets) and successfully pass a midterm and final exam. 

Review: “This is an excellent course on introductory statistics! Dr. Çetinkaya-Rundel presents the subject clearly and provides excellent online learning resources. The format of the labs (datacamp) is extremely helpful for learning R for someone with very little experience in the subject (such as myself).

This course is very fast-paced and rigorous and the student will need to invest a significant amount of time and energy in it if they wish to earn a certificate. But I would highly recommend it, it is by far the best online resource I’ve found for learning statistics.” For additional reviews, click here.

Additional Notes: Students will need to access R “(an online environment for statistical computing and graphics) and RStudio (an integrated development environment that serves as a user interface for R).” Çetinkaya-Rundel also advises students to use DataCamp, an interactive platform that houses lab exercises from this course in the R environment. She also encourages students to access her textbook, which is available at no cost online at OpenIntro.