PUBHLT 0412 - DATA TO DECISION: MODELING IN PUBLIC HEALTH

Minimum Credits: 3
Maximum Credits: 3
Long Description This course will cover the introductory regression modeling strategies for continuous, binary, and count data as well as tree-based modeling for decision-making and predictions in public health and biomedical data. Statistical software tools will be used to illustrate the data analysis applications. The course will consist of homework assignments, quizzes, labs, and a final project demonstrating students’ mastery of the learning objectives.
Academic Career: Undergraduate
Course Component: Lecture
Grade Component: Letter Grade
Course Requirements: PREQ: PUBHLT 0310 or STAT 0200 or STAT 1000 or STAT 1100; LVL: SOPHOMORE or HIGHER

Click here for class schedule information.

Add to Portfolio(opens a new window)