R Developer

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

Analyze the relative popularity of programming languages over time based on Stack Overflow data.

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

Learn the essentials of parsing, manipulating and computing with dates and times in R.

Learn how to pull character strings apart, put them back together and use the stringr package.

Learn how to efficiently collect and download data from any website using R.

Take your R skills up a notch by learning to write efficient, reusable functions.

The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

Familiarize yourself with Git for version control. Explore how to track, compare, modify, and revert files, as well as collaborate with colleagues using Git.

Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

Learn defensive programming in R to make your code more robust.

Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.