R Programmer

Gain the career-building R programming skills you need to successfully develop software, wrangle data, and perform advanced data analysis in R. No prior coding experience is required, you can start your journey to becoming an R programmer today! In this track, you'll learn how to manipulate data, write efficient R code, and work with challenging data, including date and time data, text data, and web data using APIs. As you become more comfortable with these skills, you'll move on to learn about writing functions in R and object-oriented programming—an essential skill for R programmers working with large and complex programs. Through interactive exercises, you'll also gain experience working with powerful R libraries, including devtools, testthat, and rvest, that will help you perform key programmer tasks, such as web development, data analysis, and task automation. By the time you finish this track, you’ll have a firm grasp of what’s needed to become an R programmer and have the skills to get started as one.

R52 hours13 courses2 projectsStatement of Accomplishment

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Introduction to the Tidyverse

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.

4 hours

Dr. Semmelweis and the Discovery of Handwashing

Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.

2 hours

Data Manipulation with dplyr

Delve further into the Tidyverse by learning to transform and manipulate data with dplyr.

4 hours

Writing Efficient R Code

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

4 hours

Working with Dates and Times in R

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

4 hours

String Manipulation with stringr in R

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

4 hours

Data Manipulation with R

Web Scraping in R

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

4 hours

Introduction to Writing Functions in R

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

4 hours

Clustering Bustabit Gambling Behavior

Use cluster analysis to glean insights into cryptocurrency gambling behavior.

2 hours

Introduction to Shell

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

4 hours

Introduction to Git

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

4 hours