COE Data Science Specialization

I am currently in the process of leading the development of a five-course data science specialization in R for students in the College of Education at the University of Oregon, in collaboration with Drs. Alison Hill, Chester Ismay and Andrew Bray. Although the courses will be offered through the COE, it is anticipated that students from numerous social science departments will have an interest, given past enrollment in the R courses listed below.

Graduate Courses

Fall 2018

EDUC 610: Multiple Regression in Educational Research

EDUC 610: Introduction to Data Science with R

Summer 2018

EDUC 611: Survey of Educational Research Methods

  • This summer I will be teaching this course for the first time. I will post the materials for the course here, as I develop them. The course is aimed at educational practitioners (teachers and administrators), and introduces students to concepts of research design and research methods.

Fall 2017

EDLD 610: Exploring Data with R (4 Credits). CRN: 17214

  • Introduces students to the basics of data science with R. Specifically, the course focuses on three key principles of modern exploratory data analysis: (a) programming and reproducible research through R, (b) transforming data to workable formats, and (c) exploring data visually. The course is taught through the tidyverse.

Spring 2017

EDLD 610: Exploring Data with R (4 Credits). CRN: 37117

  • This was the first iteration of the course by the same name listed above.