DS 325 Advanced Statistics for Data Science WI
Intermediate Writing. In this course we will learn about data analytics through the lens of data wrangling, statistical graphics, modern regression tools, and the ethical issues associated with the entire data pipeline. Our statistical graphics focus will examine both single variable and multivariable plots, using both discrete and continuous variables. We will review simple linear regression before delving into validity of models and transformations, weighted least-squares, multiple linear regression, variable selection, logistic regression, and mixed models. This class will include several writing projects.
Prerequisite
Take
class='sc-courselink' href='/en/2023-2024/academic-catalog/course-descriptions/core-core/100/core-110'>CORE 110 or HNR 150. Take 1 OC, oral communications course. Take class='sc-courselink' href='/en/2023-2024/academic-catalog/course-descriptions/ma-mathematics/300/ma-315'>MA 315.
Corequisite
Take TH 101 previously or concurrently.
Distribution
IW,WIOffered
Annual Fall Semester