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.

Upcoming Time Schedule

Spring, 2023

SLN/Section Time Location Instructor
20149 A
Open

T Th 11:30AM - 1:20PM

MLR 301

 

 

20150 AA
Open

W F 11:30AM - 12:20PM

SMI 305

 

 

20151 AB
Open

W F 12:30PM - 1:20PM

THO 335

 

 

20152 AC
Open

W F 11:30AM - 12:20PM

DEN 213

 

 

20153 AD
Open

W F 12:30PM - 1:20PM

THO 334