Back to R Programming
Johns Hopkins University

R Programming

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.

Status: Statistical Methods
Status: Software Installation
IntermediateCourse58 hours

Featured reviews

RD

5.0Reviewed Mar 2, 2016

A great introduction to slightly more complicated R programming. Basic concepts covered well and it builds nicely to the point where you feel like you can apply your knowledge to real world examples

AC

5.0Reviewed Jul 15, 2018

For anyone planning to set their foot in the vast field of data analytics and R, this course is what will set the momentum and actually make you fond of programming in R by the end of the course.

YZ

5.0Reviewed Jul 16, 2020

This is course is probably my favorite out of the Data Science: Foundations using R specialization. There was plenty of opportunity to practice and further develop by burgeoning R programming skill.

AB

5.0Reviewed Sep 6, 2017

Great course for people who work with data a lot. This course actually helps in looking at data in its basic forms, helps understand transformations better, and gives ideas about playing with it.

RR

5.0Reviewed Feb 20, 2017

I am pleasantly surprised with the quality of this course. For a beginner, the Swirl exercises are incredibly helpful and I was able to build confidence in working with R because of them. Thank you!

CH

4.0Reviewed Apr 30, 2020

I would have preferred the 'robot voice' concept from the toolbox course, since it could be updated to more recent R upgrades, but the assignments really made me think and that was my favorite part.

JS

4.0Reviewed Sep 8, 2019

The course was a wonderful introduction to R, though I felt the programming projects were lacking a bit in terms of direction. Definitely go through the swirl exercises to help reinforce everything!

AR

4.0Reviewed Jul 8, 2019

Quite good if you can cope with the pace. Absolute beginners may struggle. But exercises were challenging enough to make you learn and that's the best part of the course including Swirl Exercises.

JB

5.0Reviewed Sep 21, 2018

It is a very important course, despite being at introductory level opens the path to the data science, this is very important and I'm very excited by the possibilities. For me was very important.

HH

5.0Reviewed May 11, 2020

before starting this course i have experience of R programming but this course gives me a lot of new function and how to build a function and a most useful function str,debugging and Rprof.Thank You!

DN

4.0Reviewed Jul 18, 2021

Although it was a little difficult for me with no computer programming background, I found this course to be a great introduction to R programming. Lots of important concepts and basics are covered.

GP

4.0Reviewed May 6, 2017

Helpful in learning the basics and then some. However, the course assumes you know certain things about the R language and a lot of catching up had to be done (learning from outside sources etc.).