ANALYSIS AND VISUALIZATION OF BIOLOGICAL DATA
This course addresses how to analyze, visualize and draw conclusions from biological data. It introduces basic concepts in statistics interwoven with training in data analysis using the R computing environment. Students will learn to identify underlying data structures and wrangle data. Students will also learn to effectively convey results using statistical graphics. Topics include basic R programming, data exploration, statistical modeling, parameter estimation and interpretation, and model comparison. This class particularly focuses on biological data. Graduate/Undergraduate Equivalency: BIOS 338 . Mutually Exclusive: Cannot register for BIOS 538 if student has credit for BIOS 338 .
Prerequisites & course information
Short Title: BIO DATA ANALYSIS Department: Biosciences Grade Mode: Standard Letter Course Type: Lecture Credit Hours: 3 Restrictions: Enrollment is limited to Graduate level students. Course Level: Graduate
Sources
- Course catalogue ↗2026–2027