As a manager, you are making dozens of decisions that affect the future of your company and your own career. As a human being, your decisions are often most probably biased. Regardless of the setting, managerial decisions are necessarily made under conditions of uncertainty. In order to make informed decisions under uncertainty, managers must learn to analyze and understand data concerning relevant variables and relationships and to make inferences and predictions on the basis of such data.
This program is appropriate for anyone interested in big data and how it can be used to make complex consequential decisions under risk/uncertainty.
The course will develop tools for interpreting and analyzing data and making data-driven predictions and decisions. In so doing, it will provide an appropriate foundation in statistics for managerial decision making. These skills are an essential part of a modern manager’s decision-making toolkit.
Saša Pekeč is an Associate Professor in the Decision Sciences Area at the Fuqua School of Business. He holds a Ph.D. in Applied Mathematics from Rutgers University. He joined Duke in 1998 and is currently teaching the core statistics course in the daytime MBA and the Cross Continent MBA programs. Professor Pekeč research is interdisciplinary and revolves around decision-making in complex competitive environments, and includes work on multiple object auction design, subset choice and bundle valuations, preference elicitation and information aggregation. He has published articles in Management Science and Operations Research, as well as in top academic journals in other fields such as economics, mathematics, and psychology. Professor Pekeč’s consulting experience includes banking, Internet, pharmaceutical, retail, and telecommunications industries. He serves on the Supervisory Board of Atlantic Grupa, one of the leading FMCG companies in SE Europe. Professor Pekeč is a member of the Council of Economic Advisors to the President of Croatia.