Call Number | 10285 |
---|---|
Points | 3 |
Grading Mode | Standard |
Approvals Required | None |
Instructor | Aidan Feldman |
Type | SEMINAR |
Method of Instruction | In-Person |
Course Description | Pre-req: DSPC IA6000 - Computing in Context, or see option for testing out. In 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 supporting systems 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 in research/industry. |
Web Site | Vergil |
Department | Data Science for Policy |
Enrollment | 0 students (60 max) as of 5:05PM Sunday, August 10, 2025 |
Subject | Data Science for Policy |
Number | IA7160 |
Section | 001 |
Division | School of International and Public Affairs |
Open To | SIPA |
Section key | 20261DSPC7160U001 |