About
About MHDSR and its instructor.
MHDSR
What. MHDSR (Methods in Health Data Science with R) is a live, cohort-based training pathway in applied biostatistics and machine learning for health research, taught in R with reproducible Quarto workflows. It comprises three courses — a base course (BIOSTATR), an advanced machine-learning course (ML4HOR), and an agentic and AI-assisted data science course (AIDSR) — that can be taken independently or followed as a pathway.
Each course can be taken independently, but ML4HOR and AIDSR assume the level of R covered in BIOSTATR, and AIDSR additionally builds on ML4HOR.
Why
Health researchers are often taught statistics and R as separate subjects, disconnected from the reproducible workflows expected in publication and clinical practice. MHDSR closes that gap: every course pairs the underlying methodology with a hands-on R implementation and ends with a reproducible Quarto report.
Who it’s for
Clinicians, researchers, PhD students, public health professionals, and analysts who want a rigorous, hands-on introduction to modern health data analysis in R. No advanced statistics background is required for BIOSTATR; ML4HOR and AIDSR build on it (and AIDSR on ML4HOR) but can be taken independently.
What you get
Live sessions, slides, notebooks, datasets, and exercises for every session, with direct feedback in a small cohort, ending in a short reproducible Quarto mini-project.
The Instructor
MHDSR is designed and taught by Imad El Badisy, PhD, Research Engineer in Health Data Science.
Contact
For registration, questions about a course, or group/custom training requests: elbadisyimad@gmail.com