I co-teach this course with Fred Watson. My overall goal for my half of the course is to give students a foundation of skills that will make it much easier to explore vast landscape of statistical analysis. As more and more data are getting deposited in open, online repositories we find ourselves living in an era of “big data” and the problem for researchers in most sciences has shifted from data collection to proper and reproducible data analysis. I first give the students a solid foundation in Unix and R, such that they can use these computational tools for the common tasks of data management and analysis that they will encounter as scientists. Then we work our way through experimental design and analysis via ANOVA, Bayesian approaches to linear models, and multivariate statistics.