Spring 2024 Health Policy and Management P8529 section 001

Analytics & Managerial Decision Making I

ANLYTC&MNGR DECISION MAKI

Call Number 17390
Day & Time
Location
M 1:00pm-3:50pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor Kai Ruggeri
Type SEMINAR
Method of Instruction In-Person
Course Description This is a course about analytical thinking and skills for managers. Our aim is to further develop statistical skills, while emphasizing practical applications, translation to policy, and communicating results. We will spend the first half of the course building technical skills on fundamental and some advanced analytical methods, where each session will be a combination of teaching and practice. Next, we will apply all skills into interactive challenges (including presentation of results), where we will focus on written and visual communication of insights. We will close the class by covering the principles of survey design and analysis, plus utilizing insights for decision-making. We will develop these skills not only through directed challenges, but also through more practical examples, where only general guidance is provided and participants will utilize their own creativity and experience.
Web Site Vergil
Department Health Policy & Management
Enrollment 49 students (50 max) as of 1:06PM Thursday, July 18, 2024
Subject Health Policy and Management
Number P8529
Section 001
Division School of Public Health
Section key 20241HPMN8529P001