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

Listings for future quarters are tentative and subject to change. For the most up-to-date information, please consult the UW Time Schedule. For a listing of all courses potentially offered, see the Course Catalog.

Meeting Time: 
MW 10:00am - 11:20am
Location: 
* *
SLN: 
19553
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: 
Individuals and Societies (I&S)
Quantitative and Symbolic Reasoning (QSR)
Credits: 
5.0
Status: 
Active
Last updated: 
January 19, 2021 - 10:42pm