EPIB463

Introduction to Biostatistical Programming

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An introduction to basic programming principles; data analysis tasks such as the calculation of summary statistics and the creation of graphs; and the implementation of statistical analysis concepts such as T-tests, ANOVA and correlation. Querying and managing data sets using SQL in SAS will also be covered.

Spring 2026

Jeremy Rubin

0 reviews
Average rating: N/A

Summer 2025

Menglu liang

0 reviews
Average rating: N/A

Kumar Mainali

0 reviews
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Spring 2025

Kumar Mainali

0 reviews
Average rating: N/A

Past Semesters

Menglu liang

0 reviews
Average rating: N/A

Jamie Trevitt

0 reviews
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Steven Tartakovsky

0 reviews
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Raul Cruz-Cano

0 reviews
Average rating: N/A

Chenglong Liu

0 reviews
Average rating: N/A

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 2.94 between 91 students*

EPIB463 Grade Distribution+-0510152025303540455055% of studentsABCDFWother
A-: 18.68%
A: 17.58%
A+: 18.68%
B-: 2.2%
B: 13.19%
B+: 4.4%
C-: 1.1%
C: 4.4%
C+: 1.1%
F: 2.2%
W: 14.29%
other: 2.2%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.