Clinical Data Science Course
Gain expertise in clinical data science for healthcare by cleaning and encoding hospital data, engineering strong features, building and calibrating predictive models, tackling bias and fairness issues, and delivering clear, actionable insights to clinicians at the bedside.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course equips you with practical skills to create, validate, and interpret reliable prediction models from real clinical data. You will cover data preparation, feature engineering, binary outcome modelling, and managing imbalanced data, along with key metrics, calibration techniques, bias reduction, model monitoring, and effective communication for accurate, fair models suitable for safe real-world use in healthcare.
Elevify advantages
Develop skills
- Build clean clinical datasets by preparing, encoding, and scaling hospital EHR data quickly.
- Engineer powerful clinical features using vitals, labs, comorbidities, and timelines.
- Train and validate readmission models with robust, leakage-safe metrics.
- Explain model predictions to clinicians with clear, actionable risk insights.
- Implement ethical, monitored clinical AI with bias checks and safeguards.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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