QM 505 DATA DRIVEN DECISION MAKING

The focus of this course is on data driven decision making based on statistical analysis methods. Both quantitative and qualitative statistical methods are presented. The course is designed to develop critical skills for data analysis, modeling, and decision making under uncertainty to draw valid inferences for informed decisions. The topics covered in the course include exploratory data analysis, probability, sampling, estimation, simulation, hypotheses testing, regression analysis, and time series with emphasis on translating and communicating the statistical results into language understood by non-technical and technical audiences.

Credits

Prerequisite

Master's level students: QM 501. Bachelor's level students: QM 202.

Distribution

QUANTITATIVE METHODS