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Sociology courses carry social science credit.
SOCIOL 303-DL : Analysis and Interpretation of Social Data
Description
This course will introduce students to the techniques, concepts,
and terminology used in the quantitative analysis of social data.
The course will be grounded in practical exercises in which
students will analyze real-world data on health disparities, police
interactions with the public, party politics, and other important
social issues. Students will learn how to find and access
public-use social data and how to import, clean, merge, summarize,
and visualize such data in the programming language R. Students
will also learn the fundamental principles of probability
underlying inferential statistics, or the process of using sample
data to make inferences about broader populations. Finally,
students will become fluent in the language of statistics, enabling
them to discuss their own research in a precise and professional
manner and to understand and evaluate quantitative research done by
others. Prerequisite: none.
This course is conducted completely online. A technology fee will
be added to tuition.
Note: This course is limited to School of Professional Studies
students only. Undergraduate students in other schools at
Northwestern are not permitted to enroll in this course.
Winter 2025 | ||||
Start/End Dates | Day(s) | Time | Building | Section |
01/06/25 - 03/22/25 | Asynch | Asynch | 20 | |
Instructor | Course Location | Status | CAESAR Course ID | |
Jenkins, Austin | Online | Open |