Introduction to Data Science for Environ

The goal of this course is to give students a stronger theoretical foundation on data science and a provide them with a technical toolkit. This course will prepare students with skills they will need to undertake research that relies on strong quantitative and data science foundations and will help prepare students to excel in other Data Science-focused course offerings in the department of Biostatistics and Environmental Health Science (EHS). This course will build on the first half of P6360 Analysis of Environmental Health Data, which introduces coding in R and the basic framework for conducting EHS-related data analysis across EHS disciplines (e.g., toxicology, epidemiology, climate and health). This course will cover both conceptual and practical topics in data science as they relate to environmental health sciences. Each session will be divided into two parts. In the first hour of the class there will be a lecture. Following a brief 5-minute break, the last two hours of the class will be spent on a lab project where students will apply the methods they learned in the lecture.