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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!

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3126 - 3150 of 4,736 Reviews for R Programming

By Gregory P

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May 7, 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.).

By Lindsey H

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Jan 6, 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.

By Humberto L S

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Oct 6, 2020

Good course, good lessons, explanations were very clear. However, the las quizzes were a bit challenging and it felt like the previous material was not enough. I do not recoment it for begginers

By Yun B

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Jul 9, 2020

The content of the course is useful but the difficulty between lecture/practice and assignment (especially the last one) is quite large which requires certain level of self learning motivation.

By Rebecca B

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Feb 3, 2019

Course was good and very informative. Only negative thing to say is that the Programming assignments are extremely more difficult than what is taught in the videos and swirl practice exercises.

By John C Z J

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Mar 11, 2016

Some disconnects between assignments and lectures but you'll find that in a lot of classroom settings. Otherwise fantastic content about the basics of R Programming and the environment thereof.

By Ivan S

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Jan 19, 2016

Really hand overview of R and common development practices in R. SWIRL is definitely the one that must be attended in order to get best understanding on the subject if no prior experience in R.

By Guillermo O C

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Oct 26, 2020

The R programming course was demanding, some videos was translated in Spanish, the person that takes this course must have know basic programming. I recommend it. The quizzes are challenging.

By Jacob D

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Sep 28, 2017

Solid course overall. The instructions and in-class coding examples are clear and easy to follow.

Only drawback is that the programming assignments are somewhat disconnected from the content.

By Mohammad U S S

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Jul 28, 2020

This is an amazing course for getting a better understanding of R programming. Gave me a deeper knowledge of different aspects of R and the difficulty level is a bit high for the beginners.

By Amy M

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Oct 3, 2016

I learned a lot fast in the class - but the assignments seemed very difficult, and often didn't match the content of the lectures. I enjoyed the class, and definitely earned all I learned.

By Jorge V P

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Jan 8, 2021

Buen curso, aprendí bastante; pero, los exámenes son muchos más difíciles que lo que te enseñan lo cual te ayuda a investigar más por tu cuenta aunque a veces se exceden con la dificultad

By Abdullah A

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Jan 31, 2018

Week 3 was not well organized when compared with the other weeks. The peer graded assignment and the way to use github were not explained well.

Other than that it was an excellent course.

By George C

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Jan 15, 2018

Pretty good overview. It would be helpful to potentially add sample code (outside the scope of the assignments) that shows how to best use functions, and overall best way to write R code.

By Ramu M

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Dec 22, 2017

The course Syllabus Quiz and programming Quiz are of best standards. And Forums are amazing they are very much helpful. while solving the problems and understanding the some of concepts.

By DAVID R M

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Jun 1, 2018

It is a course which have collective info, but there is no much hands on sessions explained by the instructor. This course suits one who already dealt with R programming for some extent.

By Lewis H

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May 4, 2016

Very thorough and appropriate level of difficulty. Less one star because week 1 is way too much to retain before you get to practice, and there's really no reason to lay it out that way.

By Kelly S

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Mar 31, 2019

Overall the course is a very good intro to the R language.

Interactive exercises in R Studio were great. The lectures are well-done, but only tangentially helpful in doing assignments.

By Sean N

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Feb 14, 2017

A reasonable primer for R programing, that covers the basics of manipulating data sets. There are a couple of spots where the code is out of date, but that can be easily worked around.

By John D

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Jan 30, 2016

This was truly a challenging course if you're unfamiliar with scripts...in addition the course moves at a moderately fast pace but assignments are doable. Do the r (swirl) assignments.

By Mridul A

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Aug 4, 2017

I find that the quiz helped me better my understanding of the subject much better. I would like if more practical self exercises were included in the course as they really help a lot.

By Rishabh S

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May 25, 2020

Some explanations need to be more thorough. Also, the concepts required in the assignments need to be taught in the lessons. This course right now can not be finished by a beginner.

By Ingrid T

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Jul 6, 2017

The slides are too small to read on mobile devices. Also, it would be more helpful to aggregate all the slides for each lecture or week into a single PDF, rather than multiple PDFs.

By Lizzy R

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May 17, 2020

The course is very easy to understand, and the package swirl is very useful. However the assignments are very difficult and need spent many hours trying to figure out the solution.

By Sara L

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Nov 4, 2019

This is an excellent course to acquaint yourself with R. The only issue is that the programming exercises sometimes are not exactly matched to the lectures and practical exercises.