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Learner Reviews & Feedback for R Programming by Johns Hopkins University

4.5
stars
22,228 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

DK

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The content is superbly designer for a beginner. The Swirl assignments need to make compulsory. Infact they contributed more to the learning process. More Swirl contents will make the course richer.

JM

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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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3426 - 3450 of 4,735 Reviews for R Programming

By Chih-Wei P

Aug 26, 2016

It would be nice if you could combine the lecture notes into a single file for download.

By Camila R M

Apr 10, 2021

Programming Assignments were not at the same level as the material taught in the course

By KSHITIJ S C

Sep 2, 2020

Great course! Would definitely recommend to those who want to start data analysis in R!

By Jingyuan “ Z

May 10, 2019

Homeworks and assignments are sometimes harder than what can be found in the textbooks.

By Gourav B

Jul 4, 2018

Course is very good for beginners and will definitely enhance your R programming style.

By John K

Jun 27, 2017

Great material and lectures, but a little advanced programming exercises for beginners.

By Jeyalakshmi S

May 14, 2016

Very much helpful to understand the basic about the R programming. Very well structured

By Martin S R

May 8, 2020

Teaching-wise it was great, but the materials for the assignments were too complicated

By Heather G

Mar 20, 2016

I'm a fairly experienced R programmer and still learned a few things from this course!

By Sushmita G

Mar 2, 2016

Great start to get into data analysis. A little difficult for 4 weeks, but manageable.

By Mehmet B

Oct 4, 2020

Thank you. It was a great course. I believe more emphasis on splitting is essential.

By Sohan A

Mar 10, 2020

Sometimes function appears to be hard for assignment. All other things are excellent.

By Hao X

Jun 7, 2018

Basically rewarding, but there exists a big gap between the lectures and assignments.

By Waldemar T

Jun 12, 2017

Tough course but highly interesting, enabling a better approach to data manipulation.

By Matiukhina K

Jan 23, 2017

It would be nice to have more complicated assignments which push brain to work harder

By blessing j o

Sep 8, 2022

it great to learning R, but i still need more improvement learning from this program

By Saul M

Oct 29, 2020

The assignments are tough. I loved them. The practice assignments were quite useful.

By Diego T

Jun 18, 2020

A bit old videos and version, however very useful in regards to processing data sets

By Deleted A

Jun 7, 2018

Asignment's difficulty level is way higher than what is discussed during the lessons

By Leonardo V S

Oct 30, 2016

great overview, but pretty challenging for those without any programming experience.

By amandine

Jun 4, 2020

Very interesting but a very steep learning curve in a complex programming language.

By SARTHAK A

May 9, 2020

writing functions should be taught and how to apply them should be taught properly.

By Dushyant S

Apr 23, 2019

Its very essential for a data analyst or scientist to learn this powerful language.

By 冯溢濠

Apr 17, 2016

The professor expressed the concept really good and it is quite easy to understand.

By Deleted A

Mar 23, 2016

Great overview. The Swirl exercises are wonderful for "teaching a person to fish".