BSTT 426

Analytics Using Python

Epidemiology and Biostatistics

3 credit hoursUsually offered: Fall, Spring

Avg GPA

3.59

Easiness

4.00

Total regs

Grade Distribution

Fall 2022–Fall 2025 · Percentages use A–F and W outcomes

Avg GPA

3.59

81.8%

12.7%

0.0%

1.8%

3.6%

A–F + W

Other outcomes

All registrations

Quick Insights

Avg GPA

3.59

Easiness

4.00

C or better

98.1%

Among A–F outcomes

D or better

98.1%

Among A–F outcomes

Withdrawal rate

3.6%

Among A–F and W outcomes

Most common grade

Letter grades only

Outcomes counted

A–F and W outcomes

BSTT 426 by Professor

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

No professor GPA data available for this course.

Professor

Avg GPA

Student rating

Graded

Total regs

No professor GPA data available for this course.

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About This Class

Provides a comprehensive introduction to Python programming in the context of data science and natural language processing (NLP). Students will learn essential data manipulation, visualization, and machine learning techniques. Course Information: Extensive computer use required. Prerequisite(s): No prerequisites except that some very basic understanding of programming in SAS or R or some other programming language is needed along with basic analytical knowledge. Motivation to learn programming concepts is key. Recommended background: IPHS 402 or EPID 406 or BSTT 413 .