Registration, task access, submissions and review are free. The optional verified certificate costs ₹99 after required approvals and follows your program's date rules.
Learn analytical reasoning with fictional healthcare records
This educational track connects cleaning, charts, pharmacy sales, safety reports, predictive exercises, trial metrics and inventory decisions. Check that you can organize tables, state units and explain basic comparisons before building a dashboard. You do not need access to real patient records; supplied exercises use synthetic data and must remain clearly labeled.
A useful submission explains the question, transformation and limitation. A higher adverse-report count does not establish causation, and a practice prediction is not a clinical recommendation. If you want the broader analytical method first, compare Data Analytics. If fictional safety-case documentation interests you more than dashboards, compare Pharmacovigilance. Neither path confers medical or professional licensing.
Seven applied analysis briefs
The standard roadmap contains these seven tasks and LinkedIn offer-letter onboarding. The starter contains onboarding and the first two tasks. Exact submission requirements remain in your dashboard.
1. Healthcare Data Cleaning & Understanding
Inspect missing values, types and inconsistent fictional patient records. Explain each cleaning decision and preserve the original input for comparison.
Submit: Cleaned CSV with Python code or an Excel analysis. Download fictional patient data.
2. Healthcare Data Visualization
Chart demographics, disease distribution and recorded outcomes. Label units and denominators, and avoid implying that a chart establishes treatment effectiveness.
Submit: Visual report PDF or Tableau/Power BI link. Download visualisation records.
3. Pharmacy Sales & Drug Analysis
Compare medicine revenue, top-selling items and generic versus branded shares. State whether comparisons use quantities, revenue or transaction counts.
Submit: Sales analysis PDF or Excel workbook. Download pharmacy sales data.
4. Adverse Drug Reaction Data Analysis
Explore drug-event reporting patterns in the synthetic records. Explain missing information and reporting limitations; counts alone cannot prove that a product caused an event.
Submit: ADR analysis PDF or notebook. Download fictional event records.
5. Healthcare Predictive Analytics
Build a model for the dataset's 30-day readmission outcome. Describe your split, features, evaluation and limitations. This demonstration is not a clinical decision tool.
Submit: GitHub or Colab code and analysis. Download readmission modelling data.
6. Clinical Trial Efficacy Metrics
Compare the fictional treatment and control groups using the requested hypothesis tests. Report effect size and uncertainty alongside the test result.
Submit: An efficacy evaluation PDF. Download simulated trial data.
7. Pharmacy Inventory Optimization
Calculate reorder points, safety stock and economic order quantities. State the demand and lead-time assumptions that determine your recommendations.
Submit: Inventory report PDF or Excel sheet. Download inventory records.
Keep health claims within the evidence
Do not use these datasets for clinical care or regulatory submissions. Do not replace the provided fictional records with identifiable patient data. Explain associations as associations, disclose assumptions and distinguish missing evidence from a negative result.
A strong submission contains readable charts, a reproducible method and limitations. Confirm public view access before sharing a notebook or report. The Pharmacovigilance field focuses instead on individual safety cases and documentation.
Choose your program format
Standard durations are 30, 45 or 60 days with eight total tasks. The 7 Days Starter Instant Internship has three tasks and no deadline while unpaid. Verified optional payment after starter approvals sets its end date; standard certificate access follows the dashboard's date conditions.
Workora is a private educational platform without a clinical qualification, stipend, job, placement or college-credit guarantee. Read the full fee disclosure.