Section outline

  • Lecture: Introduction to Data Science & the R language

    • Data Science in biomedicine: goals and challenges
    • The R language and why it’s great for biomedical data
    • The R package ecosystem: CRAN, Bioconductor, GitHub
    • The RStudio Integrated Development Environment (IDE)
    • Rmarkdown, Jupyter notebooks, RStudio notebooks
    • Base R vs. “tidyverse” vs. data.table

    Faculty:  Stathis Gennatas


    Location:      Mission Hall 1407

    • Session Slides:

    • Session Audio/Video Recording (Access restricted to registered students):