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BSTT 413

Intro to Data Analysis w/ R

Epidemiology and Biostatistics

2 credit hoursUsually offered: Fall, Spring
Avg GPA
2.36
Easiness
1.10
Total regs
229

Grade Distribution

Spring 2022–Summer 2026 · Percentages use A–F and W outcomes

Avg GPA
2.36
A
88.4%
130
B
4.1%
6
C
0.7%
1
D
0.0%
0
F
0.0%
0
W
6.8%
10
A–F + W
147
Other outcomes
82
All registrations
229

Quick Insights

Avg GPA
2.36
Easiness
1.10
C or better
100.0%
Among A–F outcomes
D or better
100.0%
Among A–F outcomes
Withdrawal rate
6.8%
Among A–F and W outcomes
Most common grade
A
Letter grades only
Outcomes counted
147
A–F and W outcomes

BSTT 413 by Professor

Ranked by historical GPA for 2024SP–2026SP · A–F outcomes only · minimum 20 graded outcomes

#1
Awadalla, Saria Salah
3.98
RMP
3.1
6 reviews
Graded
80
Total regs
115
#
Professor
Avg GPA
Student rating
Graded
Total regs
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Awadalla, Saria Salah

Top GPA signal with 80 grades.

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About This Class

An introductory overview of statistical programming using R in the context of describing and analyzing public health data. Course Information: Extensive computer use required. Recommended background: BSTT 400 ; or IPHS 402 .

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Methodology
1
Awadalla, Saria Salah
3.98
3.1 (6)
80
115