Courses, workshops, and resources for researchers, clinicians, and teams who want to apply rigorous statistics in the real world — not just pass an exam.
Audience
Clinical researchers
IRB-bound studies, trial design, regulatory submissions
Graduate students
Thesis support, methods courses, dissertation prep
Medical teams
QI projects, outcomes analysis, grant writing
Academic labs
Reproducibility, pipelines, student onboarding
Health tech teams
In-house upskilling, statistical literacy, tooling
Grant writers
Power calculations, statistical design sections
Curriculum
Beginner → Intermediate
Core statistical methods for clinical and health research. Covers study design, hypothesis testing, regression, and survival analysis.
Modules
Intermediate
Hands-on for researchers moving from spreadsheets to reproducible, code-first analysis.
Modules
Intermediate → Advanced
Building analysis pipelines that are transparent, portable, and publication-ready from day one.
Modules
Beginner → Intermediate
Communicating statistical results clearly — for manuscripts, grants, and stakeholder presentations.
Modules
Delivery
Async cohort
Self-paced modules with office hours. Run on a fixed schedule so cohorts move together.
Live workshop
Intensive single- or multi-day sessions for teams. Remote or on-site.
1-on-1 tutoring
Custom curriculum around your specific project, data, or methods gap.
Team training
Bespoke curriculum for organizations — built around your stack, your data, your questions.
The Education Portal launches in 2026. Early-access members get priority enrollment, discounted rates, and direct input on curriculum.
Join the early-access list →