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Shaun Kellogg's Projects

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Chris Bail's graduate-level computational social science course

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Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

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Repository for 'Data Science in Education Using R' by Emily A. Bovee, Ryan A. Estrellado, Jesse Mostipak, Joshua M. Rosenberg, and Isabella C. Velásquez to be published by Routledge in 2020

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Code examples from the blog www.datascienceriot.com. Mostly sabermetrics and baseball analysis written in R.

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An Introduction to Learning Analytics

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This introductory course is designed to prepare education researchers and practitioners to apply network analysis in order to better understand and improve student learning and the contexts in which learning occurs.

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Course Files for ED 795 Text Mining in Education

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ERGM Lab for the Networks and Health Workshop 2017

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R package for working with Moodle data at the Friday Institute

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Jekyll-based textbook module for creating Github Pages-based sites.

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Repository for the Learning Analytics in STEM Education Research Institute

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In these learning labs, you will become familiar with machine learning and how it is used in educational contexts

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University of Michigan source code and data associated with Practical Learning Analytics course.

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The learnr tutorials in RStudio Cloud's primers

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🐦 R client for interacting with Twitter's [stream and REST] APIs

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Sentiment analysis in R for ECI 588 Text Mining Unit 2

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