Computational Statistics

Catalog description

This course provides a broad overview of statistical methods and the R language in the context of computing. The course teaches students R and prepares them to solve problems encountered in research projects, to make decisions based on data in general real world settings, to present results, and to become critical readers of statistical analyses in research papers. Topics include sampling methods, probability, statistical inference, linear models, algorithms for big data analysis and machine learning. The course presumes that the students have a minimal mathematical background (algebra) and no prior course work in statistics. Computational analysis is the emphasis over theoretical aspects. Students will use the R language for assignments and projects.