PPEL530
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PPEL530 - Data Science for Social Sciences
Course ID
041846
Course Description
Social, economic and political reality is characterized by complex interactions
between a large number of possible factors such as institutions, policies, organizations, cultural norms, history, and geography. Moreover, we usually have
access only to limited and non-randomized data, making statistical analysis
difficult. But we now have a variety of empirical and statistical methods for
trying to deal with such challenges, allowing us to discover institutional patterns,
and drawing plausible inferences about causality. The course is focused
on giving you a practical skill set, teaching you how to use these methods in
full awareness of their limitations and complementaries.
between a large number of possible factors such as institutions, policies, organizations, cultural norms, history, and geography. Moreover, we usually have
access only to limited and non-randomized data, making statistical analysis
difficult. But we now have a variety of empirical and statistical methods for
trying to deal with such challenges, allowing us to discover institutional patterns,
and drawing plausible inferences about causality. The course is focused
on giving you a practical skill set, teaching you how to use these methods in
full awareness of their limitations and complementaries.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
Course Requisites
May be convened with
PPEL430
Component
Lecture
Optional Component
No