This full-day tutorial shows you how to do Bayesian data analysis, hands on. The software is free. The intended audience is graduate students and other researchers who want a ground-floor introduction to Bayesian data analysis. No mathematical expertise is presumed. The tutorial progresses through the following topics. 9:00-10:30 Bayes' Rule, Grid Approximation, and R. 11:00-12:30 MCMC and BUGS; Linear Regression. 1:30-3:00 Hierarchical Models and Model Comparison. 3:30-5:00 Bayesian ANOVA; Power Analysis. Get software details at http://www.indiana.edu/~jkkteach/CogSci2011Tutorial.html