Data and Decisions - Base (Flipped Classroom)
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Course Description
Base Data and Decisions is a first-year MBA course in statistics and regression analysis. The course is taught using a flipped classroom model that combines extensive online materials with a lab-based classroom approach. Traditional lecture content will be learned through online videos, simulations, and exercises, while time spent in the classroom will be discussions, problem solving, or computer lab sessions. Content covered includes basic probability, sampling techniques, hypothesis testing, t-tests, linear regression, and prediction models. The group regression project is a key component of the course, and all students will learn the statistical software package R.
Grading Basis
GLT - GSB Letter Graded
Min
3
Max
3
Course Repeatable for Degree Credit?
No
Course Component
Case/Problem Study
Enrollment Optional?
No
Programs
OIT274
is a
completion requirement
for: