Our Trainings
Data4Care trainings combine theory with practice for healthcare professionals, academics, researchers, and students.
AI in Medicine & Applications
Use AI in healthcare and clinical research with a conscious, effective, and scientific approach.
Learn MoreBiostatistics in Health Sciences
Learn to choose, apply, and interpret the right statistical methods in your research.
Learn MoreHealth Data Analysis with R & Python
Analyze your health data with programming-based, reproducible, and effective methods.
Learn MoreClinical Prediction Models and Machine Learning
Learn to develop, validate, and scientifically evaluate prediction models from clinical data.
Learn MoreAdvanced Statistical Methods in Clinical Research
Regression, survival, repeated measures, and multivariate methods.
Learn MoreStatistical Evaluation of Diagnostic Tests
Sensitivity, specificity, ROC/AUC, and cut-off determination.
Learn MoreLongitudinal & Functional Data Analysis
Analysis of repeatedly measured health data over time.
Learn MoreReference Intervals in Laboratory Medicine
Establishing, verifying, and evaluating reference intervals.
Learn MoreScientific Data Visualization
Clear and effective visualization of scientific and clinical data.
Learn MoreMachine Learning on Health Data
Health-focused ML from preprocessing to model evaluation.
Learn More