CHS 788 - Data Science and Statistical Computation in Public Health

(3 units)

An introductory-level course in statistical learning and data mining. This course will cover a basic concept of data mining and techniques used in data mining. Students will learn the general concepts of computation statistics with public health application.

Maximum units a student may earn: 3

Prerequisite(s): CHS 780 and CHS 753

Grading Basis: Graded
Units of Lecture: 3
Offered: Every Spring

Student Learning Outcomes
Upon completion of this course, students will be able to:
1. assess the strengths and shortcomings of various methods in data science, machine learning, and computational statistics.
2. utilize appropriate data science and machine learning methods to solve problems in a given public health context.
3. manage and analyze large and complex health data, with a particular emphasis on “Big data.”
4. conduct statistical analysis using appropriate statistical methods and software.

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