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SOC 42538: Data Mining & Social Sciences at Hunter College

3 credits · Fall 2026

Data Mining & Social Sciences (SOC 42538) at Hunter College has 1 way to take it in Fall 2026. 1 of 1 section has an open seat right now.

The professor is: Anthony Capote.

Compare them below, check the days and times, and add the course to your schedule.

Requirements

Prerequisite: SOC 10100.

About this course

A tremendous amount of data is now being generated and collected through digital technology such as mobile phones, websites, and other electronic devices. How can social scientists take advantage of these digital trace data to answer pressing social questions? This winter course introduces students to basic concepts and methods in computational social science. It aims to show students new ways of thinking about data, conducting social analysis, and examining social phenomena through the lens of computational social science. Students will learn techniques such as web scraping, conducting automated text analyses, and incorporating machine learning into their research projects. By the end of the course, students will be able to conduct research using R programming language to analyze big data.

Professors for SOC 42538 at Hunter, Fall 2026

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SOC 42538 sections, times and seats

Seat status as of Oct 4, 5:57 PM ET. Seats can change between refreshes. How fresh is this?

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01-LEC Regular
Thu · 7:30 PM - 9:20 PM
West Bldg W1631
Anthony CapoteChill Rank 1 of 5: Chill?★ 4.8(14)Difficulty 1.6/5 · 100% would take again
In PersonOpen

Questions about SOC 42538 at Hunter

Who teaches SOC 42538 at Hunter in Fall 2026?
Anthony Capote is listed for Fall 2026. Each name links to a page with their Chill Rank and Rate My Professors numbers.
Is SOC 42538 at Hunter hard?
It depends on the professor. Across the 1 professor with a Chill Rank, students on Rate My Professors give an average difficulty of 1.6 out of 5. The Chill Rank above compares them directly.
What if a SOC 42538 section is full?
Try another section, join the waitlist in CUNYfirst if there is one, or ask the department. You can also watch a full section and get an email when a seat opens; you still enroll yourself in CUNYfirst.