Data Acquisition and Organization
Prereq: 3 credits from MATH 1311, BIOL 2701, ECON 2701, GENS 2431, PHYS 2801, PSYC 2011;or permission of the Department This course covers high throughput acquisition and management of data. The course will use diverse data types and formats to illustrate conceptual challenges across disciplines. Technical aspects will include evolving approaches to script-based web scraping, file formats and conversions, data mergers and tidying, meta-data organization and capture. In parallel, the course will cover theoretical and ethical aspects of data curation and access policies, development of best practices for research data management and case studies in secure management of sensitive or private data.(Format: Integrated Lecture and Laboratory 3 Hours)
Sources
- Course catalogue ↗2026-2027