INFO 301

Regression and simulation methods to solve complex problems in business, society, and the public sector. Selection of the correct statistical technique for the particular problem being solved, running statistical analyses using analytics tools that are commonly used in industry (e.g. SAS, SQL, and Python), and proper interpretation of the results to support data-driven decisions. Topics include regression analysis, limited dependent variable estimation, survival functions, and simulation.