STSCI 4100

Multivariate Analysis

Course Description

Course information provided by the Courses of Study 2024-2025.

This course is on the basics of multivariate statistical analysis. The focus ison the applied side, and the students will learn by examples of multiple real-life datasets. Studentswill learn to visualize the datasets and conduct simple statistical analysis using linear/nonlinearmethods. We will also cover web-scraping and data cleaning.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: STSCI 2100 or equivalent.

Distribution Category (SDS-AS) (OPHLS-AG)

Comments Linear models (STSCI 4030 or equivalent) is highly recommended. Some programming experience in R will be helpful but it is not required.

• Prepares the students for real-life multivariate data analysis. The students will get their hands dirty in messy datasets and learn that each dataset calls for its own approach of analysis. They will get more familiar with manipulate datasets in R, collaborate with others, and enhance their skills in creative thinking and presentation.
• Students will be able to analyze multivariate data using modern statistical software.

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