Modeling Quantitative Data
Taught By: Debasmita Basu
This course combines quantitative reasoning and mathematical modeling. Students will model quantitative data to find patterns, make future predictions, measure complex phenomena, and answer big, messy, reality-based questions central to human development, including climate change, social progress, equity, participation and freedom, sustainability, and human security. Students will explore quantitative research methodologies to understand how to choose, apply, interpret, appropriate statistical analysis for practical data problems, and represent the outcome through optimal data visualization methods. This course will also provide students with exposure to data visualization and analysis tools such as Microsoft Excel and Tableau and the statistical package R to model, understand, and critique a wide variety of data.This class is required for the IS major and satisfies the math requirement for the IS minor.
College: Eugene Lang College Lib Arts (LC)
Department: Natural Sciences & Mathematics (LSTS)
Campus: New York City (GV)
Course Format: Seminar (R)
Max Enrollment: 18
Add/Drop Deadline: February 5, 2023 (Sunday)
Online Withdrawal Deadline: April 16, 2023 (Sunday)
Seats Available: Yes
* Seats available but reserved for a specific population.
* Status information is updated every few minutes. The status of this course may have changed since the last update. Open seats may have restrictions that will prevent some students from registering. Updated: 10:06am EST 11/26/2022