R Developer

Gain the career-building skills you need to succeed as an R Developer by learning to write and package code efficiently. No coding experience needed!

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Track Description

R Developer

Gain the career-building R programming skills you need to successfully develop and package scripts for task automation. No prior coding experience is required; you can start your journey to becoming an R Developer today! In this track, you'll learn about the key data structures in R, including numbers, strings, factors, Booleans, and dates and times. You'll discover how control structures like conditional statements and looping can be used to build programs that process data and perform calculations. 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 in a more modular way. To take your code to the next level, you'll learn how to benchmark your code, identify and improve resource-intensive lines, and perform processes in parallel using libraries such as parallel, purrr, and foreach. Through interactive exercises, you'll also gain experience packaging code using devtools, roxygen2, and testthat, and using version control to maintain codebases more safely and efficiently. By the time you finish this track, you’ll have the skills to begin writing efficient R scripts and packaging them for task automation.

Prerequisites

There are no prerequisites for this track

Course
1
Introduction to R
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.
Course
2
Intermediate R
Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.
Course
3
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.
Course
4
Data Manipulation with dplyr
Build Tidyverse skills by learning how to transform and manipulate data with dplyr.
Project
bonus
Analyze the Popularity of Programming Languages
Analyze the relative popularity of programming languages over time based on Stack Overflow data.
Course
6
Introduction to Writing Functions in R
Take your R skills up a notch by learning to write efficient, reusable functions.
Course
7
Writing Efficient R Code
Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.
Course
8
Foundations of Functional Programming with purrr
Learn to easily summarize and manipulate lists using the purrr package.
Course
9
Parallel Programming in R
Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.
Course
10
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.
Course
11
Developing R Packages
Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.
Course
12
Defensive R Programming
Learn defensive programming in R to make your code more robust.
Course
13
Object-Oriented Programming with S3 and R6 in R
Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.
Course
14
Introduction to Git
Discover the fundamentals of Git for version control in your software and data projects.
Course
15
Intermediate Git
Discover branches and remote repos for version control in collaborative software and data projects using Git!
Skill Assessment
bonus
R Programming