National Workshop on Health Data Analytics using R

Background

Clinicians and public-health professionals increasingly need to analyse their own data, yet most lack formal training in reproducible, code-based analytics. This National Workshop on Health Data Analytics using R was designed to close that gap, giving practitioners a practical foundation in the modern R toolchain. The event ran as Cohort 2 of the national programme, hosted at AIIMS Mangalagiri.

Approach

The workshop was delivered over three days of structured, hands-on sessions that combined concept introductions with guided coding in R. Each session paired explanation with practice, moving from data wrangling and visualisation through exploratory data analysis to reproducible research with Quarto and publication-ready outputs. The programme was aimed at clinicians and public-health professionals working with health data.

What we found

Participant learning outcomes include the ability to:

• Wrangle and clean health datasets in R.
• Produce clear, effective data visualisations.
• Conduct exploratory data analysis.
• Build reproducible research workflows with Quarto.
• Generate publication-ready analysis outputs.

Outputs & impact

The workshop produced a full set of structured session materials, hands-on coding exercises, and worked examples spanning data wrangling, visualisation, exploratory data analysis, and Quarto-based reproducible reporting. It was delivered as Cohort 2 of the National Workshop on Health Data Analytics using R at AIIMS Mangalagiri on 3–5 October 2024, building reproducible analytics skills among clinicians and public-health professionals.