Chevron Left
Back to R Programming

Learner Reviews & Feedback for R Programming by Johns Hopkins University

4.5
stars
22,247 ratings

About the Course

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....

Top reviews

JM

Aug 11, 2019

Very challenging, but good course. I've been programming in R for over a year, but there were still some things for me to pick up in this class. Assignments were a challenge, but satisfying to tackle.

WH

Feb 2, 2016

"R Programming" forces you to dive in deep.

These skills serve as a strong basis for the rest of the data science specialization.

Material is in depth, but presented clearly. Highly recommended!

Filter by:

1251 - 1275 of 4,736 Reviews for R Programming

By Michael G

•

May 30, 2017

Good course. Covers many concepts that enables us to use in business.

By Md G M

•

May 25, 2017

Great course material. Specially learning videos are quite effective.

By Aashish B

•

Dec 20, 2016

Nice course to develop the basic programming in R and getting started

By Dr. M P

•

May 3, 2016

Very good structured course, also good for not native speaking people

By Dr. B M

•

Jan 4, 2022

exceptionally good, informative, interactive! Swirl is just amazing!

By Maurice A

•

Sep 2, 2020

An excellent course to get started with R programming for statistics

By Nithin R

•

Aug 12, 2020

In my career I Have learnt first programming language with easy way

By Jyoti S

•

Apr 21, 2020

loved the course only the Github assignment submission is confusing.

By MANAS M

•

Dec 4, 2019

The course is very helpful for beginners and detailed understanding.

By Mark H

•

Sep 4, 2017

This course is very useful. Every week I learned interesting course.

By catherine s

•

Jun 25, 2017

I enjoyed the course and the learned some useful skills. Thank you.

By Tony

•

Jun 15, 2016

Excellent course, but the difficulty of the content can be increased

By Abhinay R

•

Jun 9, 2016

Loved the assignments. Stick with the problem sets for some time! :)

By Vimal K C

•

Jun 20, 2023

Excellent course, a great beginning towards Data scientist journey.

By Yim, H

•

Apr 25, 2022

Excellent! Easy to follow, good level of difficulties and engaging.

By Agus P A

•

Jun 30, 2020

A really nice course that flexible to adapt with student activities

By ABDUL B B

•

May 11, 2020

Very nicely designed course for a very novice R programming learner

By Juan H

•

Mar 16, 2020

Muy bueno! Excelente profesor el Dr. Peng, ahora a seguir adelante.

By Daniel P d C

•

Jun 10, 2019

Great introductory course, but uses interesting real life examples.

By June K

•

Jun 6, 2019

It was a course that required lots of effort. But it was worth it.

By Sandipan D

•

Oct 19, 2017

It's a good course to quickly learn the basics of programming in R.

By Matthew H

•

Sep 3, 2017

Very good intro. The volume is very hard to hear on my most videos.

By Marildo G F

•

Jun 12, 2017

Excellent course

Didactic, easy to understand, very well explained.

By Guillermo L S

•

Apr 15, 2017

Excellent starting point for people new in data science programming

By Adam L

•

Mar 26, 2017

Solid introduction to the syntax and data science applications of R