Data Sources and Manipulation
Examines approaches to locating, acquiring, manipulating, and disseminating data. Imperfection, biases, and other problems in data are examined, and methods for identifying and correcting such problems are introduced. The course covers other topics such as automated collection of large data sets, and extracting, transforming, and reformatting a variety of data and file types.
Prerequisites & course information
Prerequisite: Minimum grade of C- in STAT100 and INST327 ; and a minimum grade of C- from one of the following: ( INST201 , INST301 , BSOS233 ); and a minimum grade of C- from one of the following: ( AASP101 , ANTH210 , ANTH260 , ECON200 , ECON201 , GEOG202 , GVPT170 , PSYC100 , SOCY100 , or SOCY105 ); and a minimum grade of C- from one of the following: ( AASP210 , ECON230 , GEOG306 , GVPT201 , INST314 , PSYC200 , or SOCY201 ); and a minimum grade of C- from one of the following: ( BSOS326 , INST326 ). Restriction: Must be in Information Science or Social Data Science program.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Data Sources and Manipulation · 3 Credits