STAT 102
Introduction to Statistics for Life Sciences
This course introduces statistical inference and computing through applications in public health, medicine, and the life sciences. Topics include data visualization, data wrangling, principles of data collection, probability, estimation, hypothesis testing, and regression modeling. Students will develop both technical skills and statistical literacy, with a strong awareness of the ethical issues that arise when collecting, analyzing, and communicating data. The course prepares students to be…
Topics
- data visualization
- data wrangling
- principles of data collection
- probability
- estimation
- hypothesis testing
- and regression modeling
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗Public 2026-2027 offerings