Healthcare Data Analytics

Course Overview

A practical, domain‑focused course that teaches learners how to use data to improve clinical outcomes, operational efficiency, patient experience, and healthcare decision‑making. The course covers healthcare data types, EHR analytics, clinical quality metrics, population health insights, cost and utilisation analysis, predictive modelling, and regulatory considerations across hospitals, clinics, and public health systems.

Target Audience

• Healthcare analysts, clinical informatics teams, and quality improvement professionals

• Hospital operations, administration, and performance management roles

• Public health, insurance, and healthcare policy analysts

• Data analysts and BI professionals working in healthcare environments

• Students or professionals entering health informatics or healthcare analytics

Course Outcomes

• Understand healthcare data sources, structures, and regulatory requirements

• Analyse clinical quality metrics, patient outcomes, and care pathways

• Use data to evaluate hospital operations, utilisation, and resource efficiency

• Apply predictive analytics for readmissions, risk scoring, and population health

• Interpret EHR, claims, and operational data to support clinical and administrative decisions

• Build dashboards to monitor performance, quality, and patient experience

• Identify bottlenecks, risks, and improvement opportunities across care delivery

• Communicate healthcare insights clearly to clinicians, administrators, and leadership teams