The Open Case Studies project is an educational resource of experiential guides that demonstrate how to effectively derive knowledge from data in real-world challenges.
Our case studies can be used by:
Educators to help them teach
Students to help them with their classes
Independent learners to help them learn
Find out more about how others are using case studies and what they think of them in this study.
Learn how to use our case studies in our guide:
Website
version |
PDF
version and more
Read our publication about the OCS project:
Open
Case Studies: Statistics and Data Science Education through Real-World
Applications
Learn more about the OCS project:
Find
out more about how others are using case studies and what they think of
them.
Our case studies cover many concepts!
Statistical
topics: from correlation to the influence of multicollinearity
on linear regression
Data science topics: from
making simple plots to building dashboards and performing machine
learning (ML), a type of artificial intelligence (AI)!
Despite unprecedented and growing interest in data science on campuses, there are few courses and course materials that provide meaningful opportunity for students to learn about real-world challenges. Most courses frequently fail to frame the lectures around a real-world application and provide unrealistically clean datasets that fit the assumptions of the methods in an unrealistic way. The result is that students are left unable to effectively analyze data and solve real-world challenges outside of the classroom.
Open Case Studies spans two complementary project areas, each grounded in real-world data and designed for hands-on learning. Through these projects, learners gain experience with data wrangling, visualization, and statistical analysis using R — applied to pressing challenges in public health and the biomedical sciences. Each case study is freely available and built to be used in the classroom or independently.
Open case studies on public health topics, developed in partnership with the Bloomberg American Health Initiative at Johns Hopkins.
Open case studies for the biomedical sciences, bringing real-world quantitative biology education to students, instructors, and independent learners.
Browse Open Case Studies by topic, skill, public health problem, programming language, project, and package.
Carrie Wright, Qier Meng, Michael R. Breshock, Lyla Atta, Margaret A. Taub, Leah R. Jager, John Muschelli & Stephanie C. Hicks
Open Case Studies: Statistics and Data Science Education through Real-World Applications
https://www.tandfonline.com/doi/full/10.1080/26939169.2024.2394541
