STAT 321

Data Science and Statistics for Social Sciences I
5.0 credits

Course 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/SOC 321; W.

Current Time Schedule

Winter, 2024

SLN/Section Time Location Instructor
22070 A
Open

T Th 8:30AM - 9:50AM

SIG 134

Caitlin T Ainsley

 

 

22072 AA
Open

M W 2:30PM - 3:20PM

THO 135

NICOLAS WITTSTOCK

 

 

22073 AB
Open

M W 3:30PM - 4:20PM

THO 134

NICOLAS WITTSTOCK

 

 

22077 AC
Open

M W 8:30AM - 9:20AM

LOW 102

Ramses Llobet

 

 

22078 AD
Open

M W 9:30AM - 10:20AM

LOW 102

Ramses Llobet