Analytics For Decision Makers

QTM6600 Analytics for Decision-Makers
1.5 Credits (MSAEL core)
Data exploration and data-driven decision making are integral in identifying and validating business opportunities. Depending on the nature of the problem and the institutional context, techniques ranging from classical statistical methods (descriptive and inferential statistics) to more recent advances in big data and tools (Excel, R, Tableau) might provide the greatest utility and deepest insights. In this course, we encounter selection of these techniques and develop our ability to formulate analytics problems in ambiguous contexts, quantify performance of various solutions, and articulate the key results of our analysis to a non-technical audience, including using visualization methods.

Prerequisites: MOB6600 and EPS6600

  • Program: Graduate
  • Division: Mathematics, Analytics, Science and Technology
  • Level: MSAEL (Grad)
  • Course Number: QTM6600
  • Number of Credits: 1.5