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Apr 24, 2024
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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.
Prerequisite(s): CHS 780 .
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.”
Click here for course scheduling information. | Check course textbook information
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