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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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3451 - 3475 of 4,720 Reviews for R Programming

By Kevin A R

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Aug 4, 2017

Good material but a lot of time was required to complete the projects each week.

By YUCHEN Z

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Jul 7, 2017

if you're a new programmer, it would be frustrated to strat with this course. ..

By Aman V

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Sep 23, 2021

in this course review system is not good. Many student do not reply any other.

By Nicholas Y

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Apr 19, 2020

Good introduction to R basics, well integrated with swirl library and R Studio.

By Nishank B

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Jul 22, 2017

Overall good. Could have been bit better via adding few problem solving videos.

By Rishav G

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Apr 19, 2018

The assignments were harder compared to the topics dealt with in the lectures.

By Yu.Zhong

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Jul 15, 2017

pretty good. But i suppose that the structure of this course is not very well.

By Brian F

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Jun 19, 2017

I think overall it was a good course - but a little basic for a 4 week course.

By Ajay K

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Jun 21, 2016

Good course to learn R who plan to or are into data science/statistical field.

By Narayana D

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Feb 13, 2016

This course should have more assignments of R Programming. Remaining are good.

By Diego C

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Sep 12, 2018

Nice course! Interesting assignments to practice the concepts seen during it.

By Yu C

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Nov 20, 2016

I think it will be more helpful if you already have some knowledge on coding.

By Tarik

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Oct 31, 2021

It was a fantastic course. I learned many things from this course . THANKYOU

By Baheej A

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Aug 2, 2020

Very good course. But there are a lot more fundamental topics left to cover!

By Roselyn B V

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Dec 4, 2017

I hope lecture materials will be design as close with the program assignment

By Himujjal U

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Nov 14, 2016

Very nice course to learn the basics of R that is required for data science.

By Lucio C

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Aug 13, 2016

Very enriching course. Steep learning curve for beginner in the assignments.

By David F

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Jan 31, 2016

Great course. However, more examples in the contents would be really useful.

By Cyril S A

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Aug 16, 2021

Gap between assignments and what is taught is too wide for an online course

By Michael R P

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Aug 2, 2019

swirl practice is great but the professor seems to jump around very quickly

By mayank r

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Apr 11, 2017

good, can we have mini project as well, so that we have more hands-on to R?

By Stefanos F

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May 20, 2022

Very interesting and useful things that are necessary for every scientist.

By Jyotika O

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Oct 29, 2020

This course indeed helped me to build a strong background in R programming

By Jean C F

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Mar 6, 2020

Es bueno pero las tareas son de un nivel muy superior al curso en general.

By Rini S

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Jul 4, 2017

It was good hands-on. The course could have had 1 more week of in-depth R.