MSBA 320 Advanced Statistical Analysis with R & Python

3 unit(s)
Introduces students to advanced statistical theory, e.g. probability distributions, logistic regression, log transform, and time series, through the popular programming languages, Python and R. Students will explore the similarities and differences between these languages by performing complex data analysis using various statistical methods in a variety of business contexts. They will also have an opportunity to examine how these languages compare with SAS. An additional materials fee of $59.00 will be charged at the time of registration. This fee is non-refundable. Prerequisite(s): MATH 240 with a grade of “B” or better.

Select the appropriate link below to view the course catalog and course schedule on the GGU website:

Schools of: Accounting, Business, Taxation, and Undergraduate Studies
School of Law

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