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dc.contributor.author Marahrens, Helge-Johannes
dc.date.accessioned 2019-11-04T14:26:49Z
dc.date.available 2019-11-04T14:26:49Z
dc.date.issued 2019-11-01
dc.identifier.uri http://hdl.handle.net/2022/24635
dc.description Helge-Johannes Marahrens is a fourth year doctoral student in the department of Sociology at Indiana University. He recently earned an MS in Applied Statistics and is currently working toward a PhD in Sociology. His research interests include cultural consumption, stratification, and computational social science with a particular focus on Natural Language Processing (NLP). en
dc.description.abstract Python has become the lead instrument for data scientists to collect, clean, and analyze data. As a general purpose programming language, Python is flexible and well-suited to handle large datasets. This workshop is designed for social scientists, who are interested in using Python, but have no idea where to start. Our goal is to "de-mystify" Python and to teach social scientists how to manipulate and examine data that deviate from the clean, rectangular survey format. Computers with Python pre-loaded are available in the SSRC on a first-come, first-served basis. This workshop is intended for social scientists who are new to programming. No experience required. en
dc.language.iso en en
dc.publisher Indiana University Workshop in Methods en
dc.relation.uri https://purl.dlib.indiana.edu/iudl/media/s55m31437t
dc.subject Workshop in Methods en
dc.subject Python en
dc.title Introduction to Python for Social Scientists en
dc.type Presentation en


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