Introduces environmental scientists to application of modern data analysis methods. This course covers sampling, experimental design, and the analysis of quantitative data collected in the course of environmental monitoring, assessment and restoration programs. Students will be introduced and gain experience with the statistical programming language R. Prerequisite: GEOG 251, or one of STAT 100, 201, 203, 205 or 270 or permission of the instructor.
Introduces environmental scientists to application of modern data analysis methods. This course covers sampling, experimental design, and the analysis of quantitative data collected in the course of environmental monitoring, assessment and restoration programs. Students will be introduced and gain experience with the statistical programming language R. Prerequisite: GEOG 251, or one of STAT 100, 201, 203, 205 or 270 or permission of the instructor.
