Data Science for Biology
Biology has become a data science! This lab course aims for student curiosity to drive hands-on case studies and coding projects about biological applications of data science. The course design supports students’ development of fundamental and transferable computational and statistical skills for critically thinking about and using data in biology. Ethical considerations are interwoven throughout. This course offers projects with multiple levels of sophistication and complexity, enabling participation for students with varying levels of experience. PREREQUISITES: Biology 1A; Biology 1B (can be taken concurrently); Data C8 or equivalent statistics and programming experience
Topics
- Students will become empowered to use basic coding approaches to access, work with, and analyze biological data Students will learn how to select and evaluate methods and tools for data analysis Students will learn how to appropriately apply statistical tests to biological data Students will understand how to grapple with the ethical considerations of biological data
Official catalogue course objectives and student learning outcomes
Prerequisites & course information
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Sources
- Course catalogue ↗2026-2027