Data Analytics in Healthcare Course
This course equips healthcare professionals with essential data analytics skills to optimize emergency department (ED) operations using Python, R, and SQL. Participants will learn to clean and analyze ED data, create insightful dashboards, identify patient segments, and develop interventions to reduce wait times, left without being seen (LWBS) incidents, and 72-hour returns. By the end, learners will be able to deliver compelling, data-driven presentations to influence leadership and improve patient care efficiency.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
The Data Analytics in Healthcare Course shows you how to clean, explore, and interpret ED data so you can reduce waits, LWBS, and 72-hour returns. Learn practical techniques in Python, R, and SQL, build clear dashboards, segment key patient groups, and design measurable interventions. Finish ready to present concise, data-backed recommendations that drive safer, more efficient care and win support from non-technical leadership.
Elevify advantages
Develop skills
- ED data cleaning: Build fast, reliable pipelines for time-based ED metrics.
- Descriptive ED stats: Summarize waits, LOS, and returns with clear visuals.
- 72h return analysis: Flag high-risk cohorts and evaluate ED interventions.
- Operational insights: Turn temporal patterns into staffing and triage actions.
- Executive reporting: Present ED analytics clearly to non-technical leaders.
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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