Shaun Kellogg's Projects
Materials for the first course in the data science specialization
Chris Bail's graduate-level computational social science course
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
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
Code examples from the blog www.datascienceriot.com. Mostly sabermetrics and baseball analysis written in R.
Data Science Course in a Box
Repository for Data Science Course
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
The Leek group guide to data sharing
An Introduction to Learning Analytics
ECI 588 - Text Mining in Education
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.
Course Files for ED 795 Text Mining in Education
ERGM Lab for the Networks and Health Workshop 2017
R package for working with Moodle data at the Friday Institute
Jekyll-based textbook module for creating Github Pages-based sites.
Learning analytics course at UMN, Spring'16
Repository for the Learning Analytics in STEM Education Research Institute
In these learning labs, you will become familiar with machine learning and how it is used in educational contexts
University of Michigan source code and data associated with Practical Learning Analytics course.
Practice assignment for the R programming class on Coursera
Repository for Programming Assignment 2 for R Programming on Coursera
Quarto website
The learnr tutorials in RStudio Cloud's primers
R for data science
🐦 R client for interacting with Twitter's [stream and REST] APIs
Sentiment analysis in R for ECI 588 Text Mining Unit 2