S059: Quantitative Text Analysis for Education Research

In this course students will learn quantitative text analysis techniques through applications to real-world educational data. We will cover tools for processing, clustering, classifying, and modeling the properties of texts. This course will also be an opportunity to bolster students’ statistical computing toolbox in R. By the end of the course, students will be able to develop a data analysis pipeline starting from a document collection, through pre-processing, to exploration and modeling.

Permission of instructor required. Prerequisites: S-052 or equivalent coursework required. The equivalent of one semester of R coding experience or advanced coding experience in another statistical computing language is strongly recommended. If you have any questions about whether you’re ready for the course, please speak with the instructor.