Books, educational resources, and teaching



Data Science

Massive Open Online Courses (MOOCs)

Tidyverse Skills for Data Science in R Specialization

This five course specialization series on Coursera allows learners to develop insights from data with tidy tools, such as data import, wrangle, visualize, and modeling data with the Tidyverse R packages. Instructors: Shannon E. Ellis, Carrie Wright, Roger D. Peng and Stephanie C. Hicks.

Coursera specialization:

  1. Introduction to the Tidyverse
  2. Importing data in the Tidyverse
  3. Wrangling data in the Tidyverse
  4. Visualizing data in the Tidyverse
  5. Modeling data in the Tidyverse

Open Case Studies

Individual case studies

The Open Case Studies (OCS) community resource of case studies that educators can use in the classroom to teach students how to effectively derive knowledge from data.

  • Exploring global patterns of obesity across rural and urban regions
  • Exploring global patterns of dietary behaviors associated with health risk
  • Exploring CO2 emissions across time
  • Opioids in United States
  • Vaping Behaviors in American Youth
  • Predicting Annual Air Pollution
  • Influence of Multicollinearity on Measured Impact of Right-to-Carry Gun Laws
  • Mental Health of American Youth
  • Disparities in Youth Disconnection
  • School Shootings in the United States
  • Firearm Legislation and Fatal Police Shootings in the United States
  • Exploring Health Expenditure using State-level data in the United States

Educator’s guide to the Open Case Studies

We have written an online book to help guide educators on how to most effectively use the Open Case Studies (either in or outside of the classroom), various entry points to using the case studies (including an R package to enable modular use of the case studies), how to modify and adapt components of the case studies for the classroom, and how to contribute new case studies. [Available as an online book]

Teaching experience

Cold Spring Harbor Laboratories (CSHL)

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health

Department of Data Sciences, Dana-Farber Cancer Institute

Department of Biostatistics, Harvard T.H. Chan School of Public Health

Department of Statistics, Rice University

  • 2010, 2011 | Lead Teaching Assistant, Probability in Bioinformatics and Genetics (STAT 423, 623).
  • 2010 | Lead Teaching Assistant, Applied Stochastic Processes (STAT 552).
  • 2008, 2009 | Lab Instructor, Introduction to Statistics for the Biosciences (STAT 305).
  • 2007, 2008 | Teaching Assistant, Probability and Statistics (STAT 310).

Louisiana State University

  • 2005 - 2007 | Undergraduate tutor, tutored college algebra, trigonometry and pre-calculus students in the Roadmap 2 Redesign Program
  • 2003 - 2004 | Undergraduate tutor, tutored students at Scotlandville Magnet High School in algebra