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Learner Reviews & Feedback for R Programming by Johns Hopkins University

4.5
stars
22,206 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

AK

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This was very engaging, however, the level of expectation and effort needed is much greater than course 1 - ToolBox.

This is perhaps the best course on R Programming designed for a small duration.

SB

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This course fully meets my expectations. It provides a concise starting point and even manages to introduce advanced concepts such as the 'apply' family. The final assignment is fully appropriate.

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1026 - 1050 of 4,729 Reviews for R Programming

By Singh G J

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Sep 16, 2020

GREAT COURSE! ISN'T VERY ELEMENTARY, SO THIS WILL EQUIP YOU ENOUGH TO LEARN FURTHER THINGS

By floch_erwan

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Sep 14, 2020

Very clear explanations, insightful videos, helpful assignments and quizzes. Thanks a lot.

By Yang S

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Nov 28, 2019

It is a quite useful lecture. Besides, this course provides many fine transalted captions.

By Mario G

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Nov 19, 2017

I really enjoyed taking this course. Both materials and assignments were a good balance :)

By 牧山

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Apr 25, 2016

it is very useful for me ,but the only shortage is the lack of chinese sub-title.Thanks!!!

By tandin t (

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Dec 29, 2020

This course was awesome, and helped me to unleashed my potential to do programing with R.

By Sarper Y

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Nov 1, 2020

Swirl is very complementary and it'd better told as it is in the beginning of the course.

By Luis A C M

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Sep 9, 2020

Excellent course, the swirl methodology is excellent, and the instructors are very clear.

By Jawwad A

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Jan 1, 2019

A great informative course ever provided by the Coursera to all of us. Thank you Coursera

By Timothy D

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Jul 27, 2018

There is a lot to be gained from this course if you take time to do the assignments well.

By ROHIT K 1

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Mar 10, 2018

I think for beginners, this course provides a great platform for learning R language....

By Greg A

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Feb 22, 2018

This is not an easy course, but it is an essential foundation for doing any analysis in R

By lakshay w

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Feb 17, 2018

It was a great course for those who wants to have a fundamental hold on the R programming

By Derek W

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Dec 6, 2017

Good quality course, I'm auditing it and all the activities are not locked behind paywall

By Max D Q

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Nov 8, 2017

This course is very good for anybody who has no background knowledge about R programming.

By Yash B

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Sep 27, 2016

Very informative and a good learning process. Assignments help in thorough understanding.

By Selim J R

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Sep 18, 2016

Challenging course but definitely worth it. It makeThe swirl exercises are a great help.

By Thohith R

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Mar 29, 2023

by this course i learnt a basics of r programming , it is very helpful for the beginners

By Uzochukwu E E

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Mar 26, 2023

A very interesting one. I am happy to take part in this course. it really worth the time

By Lindsay E M

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May 14, 2020

Challenging and very helpful to learn R & ways of using R in the data science community.

By Khangjrakpam A

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Jan 18, 2020

Very productive and insightful course. Made me think in the last programming assignment.

By sahil p

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Jan 2, 2020

The overall course was cool but the programming assignments were bit hard for beginners.

By Junyu

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Jul 19, 2019

A really good active learning course. Learning a lot of things by practice with swirl().

By Joshua R

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Jan 27, 2019

Good intro course to learning R. Enough to get your started, and learn more on your own.

By Akshat K

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Jun 6, 2018

Most comprehensive course, I must say. The delivery of lectures is remarkable and lucid.