Clinical Data Science Course
This course provides hands-on training in developing reliable clinical prediction models using real hospital data, covering data preparation, modeling, evaluation, bias mitigation, and deployment for equitable healthcare AI.
flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
The Clinical Data Science Course equips you with practical skills to construct, validate, and interpret trustworthy prediction models using actual clinical data from hospitals. You will learn data cleaning, feature creation, modelling for binary results, and managing imbalanced data, then advance to evaluation metrics, model calibration, reducing bias, ongoing monitoring, and effective communication to ensure models are precise, equitable, and prepared for secure use in real healthcare settings.
Elevify advantages
Develop skills
- Build clean clinical datasets: prepare, encode, and scale hospital EHR data quickly.
- Engineer strong clinical features: vital signs, lab results, comorbidities, and patient timelines.
- Train and validate readmission models using solid, leakage-free metrics.
- Explain model predictions to clinicians with straightforward, useful risk information.
- Implement ethical, monitored clinical AI with bias assessments and protective measures.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
FAQs
Who is Elevify? How does it work?
Do the courses have certificates?
Are the courses free?
What is the course workload?
What are the courses like?
How do the courses work?
What is the duration of the courses?
What is the cost or price of the courses?
What is an EAD or online course and how does it work?
PDF Course