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: Simulations
Status: Programming Principles
IntermediateCourse58 hours

Featured reviews

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!

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.

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.

MR

5.0Reviewed Aug 29, 2021

Fantastic course for learning R in a dynamic way, with clear goals. A lot of information is given, so I'd say that studying in between lectures is a must, if one wants to learn things really well.

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.

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.

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.

SK

4.0Reviewed Mar 29, 2021

Nice course but it would be better if more links to this course and exercises were added for students to be able to have more practices not only with swirl ( ) but also with trustable third parties.

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

ML

5.0Reviewed Nov 2, 2018

This is a very thorough introduction to R. There are plenty of exercises to quickly get familiar with the language. Some good guided assignments really help getting familiar with coding functions.

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.

LH

4.0Reviewed Jan 5, 2018

The Week 3 programming assignment didn't feel helpful at all. At least, I didn't feel like I used anything I had learned so far. Just practiced Git, which I'm already relatively comfortable with.