Become a Clinical R Programmer in 10 weeks.

Live instructor-led training in R programming for clinical trials. tidyverse fundamentals, CDISC standards in R, admiral for ADaM, Shiny dashboards. For graduates from any background — no prior coding required.

  • Duration: 10 weeks
  • Level: Beginner → Advanced
  • Live instructor-led: ₹29,000
  • Self-paced: ₹14,999

Clinical R Programming curriculum

  1. Module 01: R Foundations

    Data structures, piping, tidyverse basics, dplyr / tidyr manipulations for clinical data.

  2. Module 02: Clinical Data in R

    Importing SAS XPT, handling dates/times, missing data strategies in clinical trials.

  3. Module 03: ggplot2 & Publication Tables

    gtsummary, flextable, publication-grade graphs, Kaplan-Meier curves in R.

  4. Module 04: CDISC in R

    SDTM round-trips with xportr, metatools, xportr validation. Use metacore for specs.

  5. Module 05: ADaM with admiral

    admiral for ADSL, ADAE, ADVS — the pharmaverse standard for ADaM programming.

  6. Module 06: TLFs in R

    Regulatory-grade safety and efficacy TLFs using gtsummary and rtables.

  7. Module 07: Shiny for Clinical

    Build a safety dashboard for adverse-event exploration — a real portfolio piece.

  8. Module 08: Reproducible Reports

    Quarto, parameterised reports, renv for reproducibility, Git-friendly R projects.