The goal of this repository is to provide a series of course materials that is used for online seminars to introduce modern data science practice using the R language. Each subfolder in the respository provides materials for a specific course in the seminar series.

Instructor: Gabriel Rosenfeld

Contact: [email protected]

• intro_programming_r: provides the basics of using the R programming language for analysis and is suitable for those who are new to using the R language
• reproducible_workflows_r: provides an introduction to using reproducible workflows with a data analysis project through the targets R package and is suitable for intermediate R users with familiarity to functions, project organization, and manipulating files
• reproducible_workflows_hpc: provides an overview of using the targets reproducible workflow approach on the NIAID LOCUS High-Performance computing environment to scale up analyses and is suitable for intermediate/advanced R users with familiarity to functions, project organization, file manipulation, as well as understanding/access to an HPC environment

• Comprehensive Introduction to R
• R for Data Science
• Data Science: Foundations using R Specialization
• RStudio Education
• RStudio Cheat Sheets

• targets
• tarchetypes
• targetopia
• targets user manual
• tflow
• Writing functions in R
• Project based data management

• See above workflows R course bullets for relevant background on targets and concepts
• NIAID LOCUS
• Using NoMachine with NIAID LOCUS
• Using targets on HPC with future
• tar_make_future