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Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

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

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

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

Learn to easily summarize and manipulate lists using the purrr package.

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

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

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

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

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

Discover the fundamentals of Git for version control in your software and data projects.

Discover branches and remote repos for version control in collaborative software and data projects using Git!