Credits: 3
Semester: Fall & Spring
Location: Online

The modern sciences are fundamentally data-driven and this course focuses on making sense of data, both quantitatively and conceptually. It is designed to give students the quantitative and conceptual skills necessary for the online Masters Program in Environmental Sciences. Topics include a review of relevant algebra skills, methods to describe data, inferential statistical methods, sampling, experimental design, and regression. The course uses software to do much of the computational and graphical work so students can focus on interpretation. This course focuses on analysis and interpretation of data in environmental science. Students will gain a working knowledge of the statistical concepts needed for the critical interpretation of scientific research. The course is based on readings from the textbook, course notes, and from primary literature (journal articles). Students will complete quantitative and interpretive exercises. In addition, students will learn the basics of the statistical program R