SOC 321 AA: Data Science and Statistics for Social Sciences I

Spring 2023
Meeting:
WF 11:30am - 12:20pm / SMI 305
SLN:
19779
Section Type:
Laboratory
Joint Sections:
STAT 321 AA , CS&SS 321 AA
Instructor:
Ramses Llobet
Catalog Description:
Introduction to applied data analysis for social scientists. Focuses on using programming to prepare, explore, analyze, and present data that arise in social science research. Data science topics include loading, cleaning, and exploring data, basic visualization, reproducible research practices. Statistical topics include measurement, probability, modeling, assessment of statistical evidence. Lectures intermixed with programming and lab sessions. Course overlaps with: B BUS 301. Offered: jointly with CS&SS 321/STAT 321; W.
Credits:
Status:
Active
Last updated:
November 1, 2024 - 7:14 pm