STSCI 4100

Last Updated

  • Schedule of Classes - September 22, 2025 1:06PM EDT

STSCI 4100
Multivariate Analysis

Course information provided by the 2025-2026 Catalog.

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.


Prerequisites STSCI 2100 or equivalent.

Distribution Requirements (DLS-AG, OPHLS-AG), (SDS-AS), (ICE-IL)

Last 4 Terms Offered 2025SP, 2024SP, 2023SP, 2016SP

Outcomes

  • 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.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Combined with: BTRY 4100, ILRST 4100, STSCI 5111

  • 4 Credits Stdnt Opt

  •  5448 STSCI 4100   LEC 001

  •  
    • MW
    • Jan 20 - May 5, 2026

    • Yang, D

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/