MHDSR

Live, cohort-based courses in applied biostatistics and machine learning for health research, all in R.

Methods in Health Data Science with R (MHDSR) is a live, cohort-based training pathway in applied biostatistics and machine learning for health research, taught in R with reproducible Quarto workflows.

Enrollment is open for the October–November 2026 cohort. To register, email elbadisyimad@gmail.com with your name and chosen course(s). See the full catalogue →

Programme design

The MHDSR pathway has three courses. BIOSTATR is the base course: R and data manipulation, descriptive statistics, inference, linear and logistic regression, survival analysis, and missing data and multiple imputation, all with reproducible R/Quarto workflows. ML4HOR is the advanced course: supervised learning from classic models to boosting and neural networks, unsupervised learning and clustering, tuning and validation, and interpretability. AIDSR extends the pathway into agentic and AI-assisted data science: driving a reproducible pipeline with a command-line coding agent, and using LLMs for structured extraction and text classification, with guardrails.

Each course can be taken independently, but ML4HOR and AIDSR assume the level of R covered in BIOSTATR, and AIDSR additionally builds on ML4HOR.

BIOSTATR → ML4HOR → AIDSR. Browse the full catalogue and schedule →