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Healthcare Data and Analytics

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About Course

Reliable healthcare insight depends on every earlier stage being trustworthy. This course builds on healthcare administration, pathway and informatics knowledge with practical techniques for cleaning, querying, modelling, analysing and communicating healthcare information.

Each tool is used as part of a wider analytical workflow: define and inspect, prepare, model and analyse, then validate and communicate.

Tools covered

  • Excel
  • SQL
  • Python and pandas
  • Power BI
  • Tableau

All datasets are fictional or synthetic. Training work is presented as training, not as live employment experience.

Course Content

Analytics in Healthcare Operations
Where analysis fits in healthcare operations and how the workflow runs.

  • The role of analysis in healthcare operations
  • The analytical workflow
  • Working with synthetic data responsibly

Define and Inspect
Understand the question and the data before analysing it.

Excel: Prepare, Validate and Explore
Use spreadsheets to review quality, structure information and summarise records.

SQL: Query Structured Healthcare Data
Filter, join, group and summarise structured operational datasets.

Python and pandas
Develop reproducible analysis with dataframes.

Power BI: Model and Report
Build data models, measures and visual reports.

Tableau: Visual Analysis
Explore trends, comparisons and operational patterns in another visual tool.

Validate and Communicate
Check the result and explain what it means.

Applied Analytical Assignments
Realistic assignments using fictional operational datasets.

Capability Evidence
Turn training work into examples you can explain accurately.

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