Passion-Driven Statistics Workshops!

The Passion-Driven Statistics model has been implemented as a statistics course, a research methods course, a data science course, a capstone experience, and a summer research boot camp with students and instructors from a wide variety of academic settings. The curriculum engages students in authentic projects with large, real-world data sets from the very first day!

We hold workshops around the U.S. and abroad supporting instructors in implementing the project-based curriculum and engaging students at many different levels including complete beginners. Workshop sessions include a brief presentation focused on the nuts and bolts of the Passion-Driven Statistics model, followed by hands-on experience with the steps that allow students to engage in independent research. Each participant’s experience in the workshop is individualized to their own interests, background, and needs. The focus is on welcoming and empowering everyone to ask and answer questions that they care about.

Participants already proficient in a specific statistical software platform are welcome to use it for the hands-on portions of the workshop. For those interested in learning a code-based software platform, we support R (free local version) and SAS in the cloud (free and requiring nothing to be downloaded onto your laptop).


To schedule an in-person or online workshop, please complete a brief inquiry form:


Recent workshops:

February 2022 – Muskingum University, New Concord, OH
May 2022 – US Conference on Teaching Statistics (eCOTS-Virtual)
June 2022 – University of Rzeszow, Rzeszow, Poland
June 2022 – Masarykova University, Brno, Czech Republic
June 2022 – Bethel University, Arden Hills, MN
June 2022 – California State University, Chico, CA
June 2022 – The Southwest Alliance for Girls’ Enrichment in Science, Technology, Engineering, the Arts / Humanities, and Mathematics (SAGE STEAM) Camp
July 2022 – Campbell School of Osteopathic Medicine, Lillington, NC
July 2022 – Burwalls electronic conference for teachers of medical statistics and allied health sciences