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Learner Reviews & Feedback for R Programming by Johns Hopkins University

4.5
stars
22,170 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

MR

May 11, 2020

Really interesting course. The interactive coding sessions with swirl are especially useful. Would be great, if you provided sample solutions for the programming assignments, in particular for week 4.

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.

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3126 - 3150 of 4,720 Reviews for R Programming

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.

By Dibyajyoti B

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Sep 23, 2018

Good course, but there needs to be better linkages between the course material and the assignments, which turned out to be inordinately difficult, especially for beginners like me.

By Ernesto F G

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Jul 26, 2017

Good for starters, if you have programming experience is really fun and easier. I would recommend some type of follow up, so you don't forget what you learned. Good professors too.

By Frank D

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Jun 27, 2020

The lecture is step by step and really well-taught and narrated. However, the gap between the lectures and the assignments makes this course quite challenging for new programmers.

By Angus M

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Dec 20, 2019

This is a very good introduction into R programming. What I think is missing is tidyverse packages that are used extensively, but maybe this comes with later Data Science courses.

By Addison S

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Aug 27, 2022

The week 3 assignment isn't covered directly in the materials and is a massive hurdle, especially until you find the special supplementary reading made to explain the assignment.

By Yan J

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Feb 10, 2017

This course is about elementary R programming , but programming assignments are not entry level. They are challenge for freshman. Overall it a good course to enter R programming.

By Matiichak B

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Oct 26, 2020

This course is not beginner-friendly, hence programming assignments and lecture materials have a gap that is hard to overcome without any additional help from outside resources.

By Digant K J

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Apr 17, 2020

It was really beautiful Course Just the programming exercise needs more detailed information as some of the people who are just starting will face issue working with Assignment.

By Joanna S

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Oct 2, 2018

It was good to do, but the lectures were a bit dry. The swirl exercises were the most helpful but could be harder as the jump between them and the assignments were significant.

By Juan D R M

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Apr 7, 2021

The programming assignments seemed very desattached from what the course actually teaches. Recommended for low-mid programmers. Aside from that the videos and are really nice.

By Julian M D C

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Jul 17, 2020

A good introduction to R with clear explainations. Swirl exercises are nice and quiz are ok but assignments are too complicated considering the content taught in the lessons.

By Haley M

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Apr 11, 2020

I learned a lot about R programming and designing my own functions. My only minor complaint is that the videos didn't generally prepare me for the two programming assessments.