Exploring data by using different tools including Data Analysis and Pivot Tables using a spreadsheet software, regression analysis for categorical data, decision analysis involving multiple objectives. Measuring attributes, determining weights of attributes, aggregating benefits, trading benefits against costs, sensitivity analysis, decision analysis under uncertainty, single and multi-attribute utility functions, expected utility criterion, decision trees and utilities, multi-stage decision trees.