Spring 2023 Biostatistics P8101 section 001

Introduction to Health Data Science

Intro to Health Data Scie

Call Number 14679
Day & Time
Location
MW 4:00pm-5:20pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor Cale N Basaraba
Type LECTURE
Method of Instruction In-Person
Course Description

This course will introduce students to core data science skills and concepts through the exploration of applied biostatistics. The course will begin with an introduction to the R programming language and the RStudio IDE, focusing on contemporary tidyverse functions and reproducible programming methods. Then, the course will instruct students in contemporary data manipulation and visualization tools while systematically covering core applied biostatistics topics, including confidence intervals, hypothesis testing, permutation tests, and logistic and linear regression. Finally, the semester will end with an introduction to machine learning concepts, including terminology, best practices in test/training sets, cross-validation, and a survey of contemporary classification and regression algorithms.

Web Site Vergil
Department Biostatistics
Enrollment 53 students (50 max) as of 4:06PM Thursday, March 28, 2024
Status Full
Subject Biostatistics
Number P8101
Section 001
Division School of Public Health
Open To GSAS, Public Health
Campus Health Science
Section key 20231BIST8101P001