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R Developer

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 developer 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 developers 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 developer and have the skills to get started as one.

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1
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

David Robinson Headshot

David Robinson

Principal Data Scientist at Heap

2
Data Manipulation with dplyr

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

4 hours

James Chapman Headshot

James Chapman

Curriculum Manager, DataCamp

3
Analyze the Popularity of Programming Languages

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

2 hours

David Robinson Headshot

David Robinson

Principal Data Scientist at Heap

4
Writing Efficient R Code

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

4 hours

Colin Gillespie Headshot

Colin Gillespie

Assoc Prof at Newcastle University, Consultant at Jumping Rivers

5
Working with Dates and Times in R

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

4 hours

Charlotte Wickham Headshot

Charlotte Wickham

Assistant Professor at Oregon State University

6
String Manipulation with stringr in R

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

4 hours

Charlotte Wickham Headshot

Charlotte Wickham

Assistant Professor at Oregon State University

7
Data Manipulation with R
8
Web Scraping in R

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

4 hours

Timo Grossenbacher Headshot

Timo Grossenbacher

Head of Newsroom Automation at Tamedia

9
Introduction to Writing Functions in R

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

4 hours

Richie Cotton Headshot

Richie Cotton

Data Evangelist at DataCamp

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.

4 hours

Filip Schouwenaars Headshot

Filip Schouwenaars

Data Science Instructor at DataCamp

11
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

George Boorman Headshot

George Boorman

Curriculum Manager, DataCamp

12
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.

4 hours

Nabeel Imam Headshot

Nabeel Imam

Data Scientist

13
Defensive R Programming

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

4 hours

Colin Gillespie Headshot

Colin Gillespie

Assoc Prof at Newcastle University, Consultant at Jumping Rivers

14
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.

4 hours

Jasmin Ludolf Headshot

Jasmin Ludolf

Data Science Content Developer, DataCamp

15
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.

4 hours

Richie Cotton Headshot

Richie Cotton

Data Evangelist at DataCamp

16
R Programming
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Instructors

  • David Robinson Headshot
    David RobinsonPrincipal Data Scientist at HeapSee David Robinson's Portfolio
  • James Chapman Headshot
    James ChapmanCurriculum Manager, DataCampSee James Chapman's Portfolio
  • Sara Billen Headshot
    Sara BillenData Scientist at DataCampSee Sara Billen's Portfolio
  • Colin Gillespie Headshot
    Colin GillespieAssoc Prof at Newcastle University, Consultant at Jumping RiversSee Colin Gillespie's Portfolio

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