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

Spring 2023
Meeting:
TTh 11:30am - 12:50pm / MLR 301
SLN:
19778
Section Type:
Lecture
Joint Sections:
STAT 321 A , CS&SS 321 A
Instructor:
Caitlin T Ainsley
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. Offered: jointly with CS&SS 321/STAT 321; W.
GE Requirements Met:
Social Sciences (SSc)
Quantitative and Symbolic Reasoning (QSR)
Credits:
5.0
Status:
Active
Last updated:
March 1, 2024 - 5:04 pm