Prework and In Course Assignments for Analytics Course

View the Project on GitHub laderast/AnalyticsCourse

Practical Coursework for BMI 569/669: Data Analytics

This repo includes the practical coursework in R/SQL for our hybrid Data Analytics Course taught with Kaiser Permanente. This course has been taught from 2013 to the present during summer quarter for students in the Biomedical Informatics program at OHSU.

Please note that this is only half of the course, which also includes discussions on organizational behavior, implementing analytics projects within an organization, and discussions of the LACE score. For the full course syllabus, please refer to the syllabus and the on-campus schedule of topics.

Learning Objectives:

Schedule (online)

The goal of the online portion of the course is to familiarize students with R and how to query the synthetic patient data in R.

All work is conducted within a RStudio workspace.

Schedule (in-class)

The goal of the online portion is to build a predictive model using the synthetic patient dataset to predict 30 day readmissions.


The synthetic dataset and original task of calculating the LACE score was developed by David Dorr. All other materials and tutorials were developed by Ted Laderas, Mark Klick, and Shannon McWeeney.


This course material is available under an Apache 2.0 License.