Pharma Data, RWE & Analytics

Bridge skills

SQL; statistics; cleaning; visualization; privacy; domain context

Competencies

• Healthcare/life-science domain context

  Understand data origin, meaning, limitations and regulated use.

• SQL fundamentals

  Filter, join, aggregate and validate relational data.

• Statistics fundamentals

  Select and interpret descriptive/inferential methods appropriately.

• Data cleaning and quality checks

  Detect missing, duplicate and inconsistent records.

• Privacy and governance

  Handle health data according to authorization and minimization principles.

• Reproducibility and documentation

  Document sources, transformations and assumptions.

• Critical interpretation

  Avoid causal or clinical claims unsupported by analysis.

• Visualization and data storytelling

  Choose clear visuals and explain findings responsibly.

• RWE/observational study awareness

  Understand design, bias and confounding at an introductory level.

• Python/R awareness

  Use code for reproducible analysis where appropriate.

Practice labs

• Healthcare Data Quality

  Use only synthetic data and avoid clinical conclusions.

• RWE Question Critique

  Do not claim that an observational association establishes causality.