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Learner Reviews & Feedback for R Programming by Johns Hopkins University

4.5
stars
22,339 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

YZ

Jul 16, 2020

This is course is probably my favorite out of the Data Science: Foundations using R specialization. There was plenty of opportunity to practice and further develop by burgeoning R programming skill.

RV

Feb 11, 2022

Difficult to follow at times. it will take a lot of time to get through the assigments. but if you are serious about learning R or any programming, it is necessary to get thrown into the fire.

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1026 - 1050 of 4,750 Reviews for R Programming

By Micael C

Aug 9, 2017

Liked very much the way the course is structured. I have learned a lot of new stuff. Thanks

By Karthic C

Jul 12, 2017

Good intro into R programming. Looking forward to the rest of courses in the specialization

By Hariharan D

Jun 27, 2017

Excellent course structure & pedagogy. This course covers all aspects for beginners of "R".

By Kryštof C

Feb 6, 2017

Thank you! This course is excelent. It gave me a great overview, what all is possible in R.

By Eric

Oct 22, 2016

Great practical exercises and content, I learned a ton! Really having fun with the classes.

By Paula C

Aug 9, 2016

Excellent introduction to R. It helps to have prior experience with programming, I believe.

By Akshay T

Apr 10, 2016

Very helpful course for people who have beginners and intermediate level of expertise in R.

By MAURICIO B M

Oct 15, 2020

A useful and didactic course, it's a good introduction to develop skills like a programer.

By Sergio J

Oct 10, 2020

I'v love much the use of swirl() library for learn the concepts. It's totally recommended!

By Singh G J

Sep 16, 2020

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

By floch_erwan

Sep 14, 2020

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

By Yang S

Nov 28, 2019

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

By Mario G

Nov 19, 2017

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

By 牧山

Apr 25, 2016

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

By tandin t (

Dec 29, 2020

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

By Sarper Y

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

Sep 9, 2020

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

By Deleted A

Jan 1, 2019

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

By Timothy D

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

Mar 10, 2018

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

By Greg A

Feb 22, 2018

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

By lakshay w

Feb 17, 2018

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

By Derek W

Dec 6, 2017

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

By Max D Q

Nov 8, 2017

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

By Yash B

Sep 27, 2016

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