MKTG 6600 - Algorithms for Business Decisions

This is a graduate-level course on causal inference to support business decisions. The first part of the course concentrates on how to design, size, and analyze simple but effective experiments. The second part of the course focuses on techniques for analyzing data from observational studies to avoid biases and accurately estimate treatment effects. By the end of this course, students will have a solid foundation in causal inference, equipped with the tools and knowledge needed to estimate causal relationships and solve real-world business problems.