This course (open to juniors, seniors, and graduate students) is a practical workshop on analyzing socio-environmental data. Students will explore methods for analyzing quantitative and qualitative data ranging from social and environmental topics in this upper-level data analysis course. Students are expected to have a basic understanding of data types and collection methods prior to taking this course.

Key topics to be covered include:

• tabulation of data and descriptive statistics
• charting data and visualization
• hypothesis testing
• correlation and regression
• analysis of qualitative data
• spatial analysis

The overarching objective of this course is to practice quantitative and qualitative reasoning skills and be able to present a scientifically informed narrative based on research data.

Questions? Contact the instructor, Yen-Chu Weng at yweng@uw.edu