This course is an introduction to the basic concepts for weighting. It begins by discussing the goals of survey weighting – correcting for differential selection probabilities, compensating for non-response and non-coverage and reducing the variance of the estimates. The course covers the process of developing weights for stratified two-stage sampling including computing design weights and methods for nonresponse adjustments and frame coverage error adjustments. Additional topics may include the effect of weighting on variance of the estimates and extreme weights.