Quantitative Reasoning: From Data to Discovery (CORE-UA 9111)

Today’s technology enables us to collect massive amounts of data, such as images of distant planets, the ups and downs of the economy, and the patterns of our tweets and online behavior. How do we use data to discover new insights about our world? This course introduces ideas and techniques in modern data analysis, including statistical inference, machine learning models, and computer programming. The course is hands-on and data-centric; students will analyze a variety of datasets, including those from the internet and New York City. By the end of the course, students will be able to (1) apply quantitative thinking to data sets; (2) critically evaluate the conclusions of data analyses; and (3) use computing tools to explore, analyze, and visualize data. Throughout the course, we will also examine issues such as data privacy and ethics

College Core Curriculum (Undergraduate)
4 credits – 14 Weeks

Sections (Fall 2022)


CORE-UA 9111-000 (18965)
09/01/2022 – 12/07/2022 Mon
12:00 AM – 3:00 PM (Early afternoon)
at NYU Accra (Global)
Instructed by


CORE-UA 9111-000 (22967)
at NYU Accra (Global)
Instructed by