Spring 2026 Data Science for Policy IA7160 section R01

Advanced Computing for Policy

Advanced Computing for Po

Call Number 15071
Day & Time
Location
F 1:10pm-3:00pm
To be announced
Points 0
Grading Mode Ungraded
Approvals Required None
Type SEMINAR
Method of Instruction In-Person
Course Description

Pre-req: DSPC IA6000 - Computing in Context, or see option for testing outIn Computing in Context, students "explored computing concepts and coding in the context of solving policy problems." Building off that foundation of Python fundamentals and data analysis, Advanced Computing for Policy goes both deeper and broader. The course covers computer science concepts like data structures and algorithms, as well as data engineering tools like databases, cloud services, and collaboration tools. Over the semester, students will build a complex end-to-end data system. This course prepares students for more advanced data science coursework at SIPA, and equips them to do sophisticated data ingestion, analysis, and presentation. It's particularly well-suited to students looking to do data work in the public sector, not-for-profits, and academia.

Web Site Vergil
Department Data Science for Policy
Enrollment 0 students as of 2:06PM Friday, November 28, 2025
Status Full
Subject Data Science for Policy
Number IA7160
Section R01
Division School of International and Public Affairs
Note Recitation
Section key 20261DSPC7160UR01