MW 10:00am - 11:20am
STAT 321 A, CS&SS 321 A
Caitlin T Ainsley
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.
Individuals and Societies (I&S)
Quantitative and Symbolic Reasoning (QSR)
January 19, 2021 - 10:42pm