Stanford GSB | Mr. Marine Corps
GMAT 600, GPA 3.9
MIT Sloan | Mr. AI & Robotics
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MIT Sloan | Ms. MD MBA
GRE 307, GPA 3.3
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Berkeley Haas | Mr. Work & Family
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Cornell Johnson | Mr. Fintech Startup
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Kellogg | Ms. Ukrainian Techie
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Kellogg | Mr. Pretty Bland
GMAT 710, GPA 3.5
Harvard | Ms. Sales & Trading
GMAT 730, GPA 3.5
NYU Stern | Mr. Long Shot
GRE 303, GPA 2.75
INSEAD | Mr. Consulting Dream
GMAT 760, GPA 3.1
Columbia | Mr. Alien
GMAT 700, GPA 3.83
Harvard | Mr. Veteran
GRE 331, GPA 3.39
Wharton | Mr. Naval Submariner
GMAT 760, GPA 3.83
Wharton | Mr. Second MBA
GMAT Will apply by 2025, GPA 7.22/10
IU Kelley | Mr. Builder
GMAT 620, GPA 3.3
Stanford GSB | Mr. Supply Chain Data Scientist
GMAT 730, GPA 3.9
Stanford GSB | Ms. Aspiring Entrepreneur
GMAT 750, GPA 3.8 (Highest Honor)
Yale | Mr. Environmental Sustainability
GRE 326, GPA 3.733
Yale | Mr. Project Management
GRE 310, GPA 3.3
Harvard | Mr. Samaritan Analyst
GMAT 690, GPA 3.87
MIT Sloan | Ms. Physician
GRE 307, GPA 3.3
Chicago Booth | Mr. Cal Poly
GRE 317, GPA 3.2
HEC Paris | Ms Journalist
GRE -, GPA 3.5
IU Kelley | Mr. Educator
GMAT 630, GPA 3.85
IU Kelley | Mr. Tech Dreams
GMAT 770, GPA 3
Tuck | Mr. Strategic Sourcing
GMAT 720, GPA 3.90

November’s Essential Business MOOCs

Foundations of Data Analysis

 

School: University of Texas-Austin

Platform: EdX

Registration Link: Foundations of Data Analysis

Start Date: November 4, 2014 (13 Weeks)

Workload: 3-6 Hours Per Week

Instructor: Michael J. Mahometa, Ph.D

Credentials: Mahometa is a statistical consultant and manager of consulting services at the University of Texas, where he manages a team responsible for supporting faculty and graduate students with statistical analysis. He is also a lecturer in the school’s Department of Statistics and Data Sciences. He holds a Ph.D. in experiential psychology.

Graded: EdX makes numerous certifications available. Although students can simply audit the course, they can also earn honor code certificates (confirms you completed the course without verifying your name), verified certificates of achievement (includes your name and picture), and XSeries certificates (available when you complete a series of courses on a particular topic). The latter two certificates require a small fee.

Description: This hands-on course is equivalent to an undergraduate statistics course, with the added benefit of a modeling section. Each week begins with a question, with data and an analytical framework provided to help students to help them interpret and summarize their findings. The course is divided into three sections: descriptive and visualization statistics (distributions, contingencies, variables, regression); modeling data (exponential and logistic); and inferential statistical tests (t-tests, chi-square, ANOVA). Aside from a unifying question, each weekly session includes instructional and tutorial videos followed by lab exercises.

Review: No reviews.

Additional Note: Students will need to install R and RStudio software on their PC.