Data Analytics in Healthcare Course
This course equips learners with essential data analytics skills tailored to healthcare, focusing on emergency department (ED) operations. Participants will master data cleaning, statistical analysis, and visualization using Python, R, and SQL to optimize patient flow, reduce wait times, lower left-without-being-seen (LWBS) rates, and minimize 72-hour returns. By building dashboards and segmenting patient groups, learners will develop actionable insights and learn to communicate findings effectively to drive operational improvements and secure leadership buy-in.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Data Analytics in Healthcare Course teaches you how to clean, explore, and interpret ED data to 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 are saying
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