What you'll learn

Understand core parallel computing concepts.

Explore essential R packages for parallel computing.

Implement parallel computing on multicore processors.

Improve R programming script and data analysis performance.

Apply parallel computing in practical RStudio data science projects.

Learn to identify and resolve parallel computing issues.

Follow coding best practices for reliable and efficient R programming.

Analyze real-world examples of parallel computing in R and RStudio.

Requirements

Familiarity with the R programming language is beneficial.

A general understanding of data analysis in R is helpful.

A computer or laptop with R and RStudio is optional.

Enthusiasm and a willingness to learn R and RStudio.