Excel
Prepare, validate and explore data
Use spreadsheets to review data quality, structure information, apply formulas, summarise records and perform practical checks.
Part of a technology-enabled workforce-readiness model.MedX combines structured learning with a functional healthcare operations simulator already used by learners. Explore the working simulator →
Healthcare data analytics pathway
Work with healthcare data. Validate the analysis. Explain what it means.
Optional extension to the 8-week programme
Build healthcare analytics capability through realistic synthetic operational data. Learn the analytical theory, work through quality and modelling decisions, produce reports and dashboards, validate the result and communicate what it means in a healthcare operational context.
Trusted data before dashboards
Reliable healthcare insight depends on every earlier stage being trustworthy.
Analytics is most useful when the person doing the analysis understands the operational meaning behind the data.
This pathway builds on healthcare administration, pathway and informatics knowledge by introducing practical techniques for cleaning, querying, modelling, analysing and communicating healthcare-focused information.
Workforce-readiness pathway
From trusted information to defensible insight
Learn how to work with realistic synthetic operational data while keeping the healthcare context, data quality and analytical purpose in view.
Analytics toolkit
Use analytical tools as part of a healthcare reasoning workflow
The focus is not simply learning software features. Each tool is used as part of a wider analytical workflow.
SQL
Query structured healthcare data
Build queries to filter, join, group and summarise structured operational datasets.
Python
Develop reproducible analysis
Use Python to structure analytical workflows and automate selected data-processing tasks.
pandas
Work with tabular healthcare data
Load, clean, transform, group and analyse structured datasets using practical dataframe techniques.
Power BI
Model & analyse and communicate operational information
Build data models, measures and visual reports that support clear interpretation of healthcare-focused information.
Tableau
Build clear visual analysis
Explore another visual-analytics environment for presenting trends, comparisons and operational patterns.
Analytical workflow
From analytical question to validated healthcare insight
Simulated analytical work are structured around a repeatable process rather than isolated software exercises.
01
Define & inspect
Understand what each row represents, identify key fields, examine dates and statuses, and look for obvious data-quality issues.
02
Prepare
Investigate duplicates, missing values, inconsistent categories, invalid dates and other issues that could affect analysis.
03
Model & analyse
Structure tables, joins, relationships, calculations and measures around the analytical question and the correct level of detail.
04
Validate & communicate
Present findings clearly and explain what the analysis means in an operational healthcare context.
Simulated analytical work
Work through realistic healthcare analytical assignments
MedX analytics activities can use fictional operational datasets designed around healthcare administration, patient pathways and related workflow scenarios.
This allows learners to practise analytical methods while also understanding the operational meaning behind the records.
✓
Waiting-list analysis
Explore volumes, waits, statuses and operational patterns in fictional pathway data.
Explore volumes, waits, statuses and operational patterns in fictional pathway data.
✓
Data-quality analysis
Identify missing, inconsistent or unusual records and explain their potential analytical impact.
Identify missing, inconsistent or unusual records and explain their potential analytical impact.
✓
Trend analysis
Explore changes over time and compare activity across categories, specialties or workflow stages.
Explore changes over time and compare activity across categories, specialties or workflow stages.
✓
Dashboard development
Build visual reports that communicate selected operational measures clearly.
Build visual reports that communicate selected operational measures clearly.
Demonstrated analytical capability
Produce analysis you can trace, validate and defend
The aim is to create analyses, queries and dashboards that show your analytical process clearly using fictional MedX data rather than presenting training activity as live employment experience.
MedX Data
Referrals
Appointments
Pathways
Validation
Reporting
Operational dataset
Specialty
Open
Review
Mean wait
Orthopaedics
184
27
18.4w
Cardiology
126
18
13.1w
Operational work → analytical work
Analyse the information created by healthcare workflows
Where appropriate, fictional data generated through MedX learning scenarios can support analytical exercises.
This helps learners see the relationship between operational data entry, data quality, pathway activity and the reports built from that information.
Explore the MedX Simulator →
Who this pathway can support
Develop healthcare-focused analytical capability
Aspiring healthcare analysts
Build a practical foundation in querying, cleaning, analysing and visualising healthcare-focused information.
Informatics learners
Progress from understanding healthcare information structures into practical analysis and reporting.
Operational staff
Strengthen the ability to interpret data and understand how operational activity appears in reports and dashboards.
Career changers
Combine existing analytical or technical skills with healthcare-specific operational context.
Capability evidence
Show the reasoning behind the analytical output
Strong analytical evidence is more than a screenshot of a dashboard. Learners should be able to explain the question, the data, the quality checks, the analytical method and the meaning of the result.
The MedX portfolio pathway helps organise that work into examples that can be discussed accurately in applications and interviews.
Explore Portfolio Evidence
MedX progression
Learn → Practise → Demonstrate → Apply
Analytics is the stage where healthcare information is transformed into practical analysis that can support stronger capability evidence.
Learners can develop portfolio examples from training activities and simulated analytical assignments. MedX’s planned Capability Evidence Engine is intended to support a more structured approach to documenting demonstrated capability.
CONNECTED LEARNING & PRACTICE
Part of the MedX learning experience.
Build relevant knowledge, explore practical healthcare scenarios and develop examples of work you can explain. The MedX approach connects learning with practice and reflection.
Realistic practice, responsibly designed.
Simulation activities use fictional training records and are not NHS employment or clinical placements. MedX is developing further technology to help structure capability evidence.
Work the healthcare data. Demonstrate the analytical reasoning.
Develop analytical skills with healthcare-focused synthetic data and learn how to explain the process behind your work.