Winter 2024
Meeting:
MW 9:30am - 10:20am / LOW 102
SLN:
22079
Section Type:
Quiz
Joint Sections:
CS&SS 321 AD , STAT 321 AD
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 3, 2024 - 2:52 am