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Learner Reviews & Feedback for R Programming by Johns Hopkins University

4.5
stars
22,247 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

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.

WH

Feb 2, 2016

"R Programming" forces you to dive in deep.

These skills serve as a strong basis for the rest of the data science specialization.

Material is in depth, but presented clearly. Highly recommended!

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3476 - 3500 of 4,736 Reviews for R Programming

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.

By Mohammadreza B

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Apr 5, 2020

Assignment difficulty level was higher than the provided lesson contents.

By Chun-Ho C

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Aug 16, 2019

Course material was taught well but could do with more practice examples.

By MARIANO T L

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Apr 27, 2018

Too many contents in quite a few time and quite a lot investigation work!

By Andrew W

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Mar 19, 2018

Great introduction to R!

Absolutely essential for the rest of the courses.

By Zachary S

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May 25, 2017

Very useful for beginner, but the way instructor teach is kind of boring.

By Gabriela I

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Aug 9, 2016

Assignments are not what we expected to be according to video lectures...

By ekta t

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Mar 29, 2016

It was really informative..but need more examples and more pratical view.

By Ian D

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Nov 6, 2022

Would be useful to get a possible solution of the programming assignment

By Stefan M

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Nov 23, 2020

Lots of info and lots to do on your own for the assignment. Good course.

By Jessica R

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Oct 10, 2017

I loved the use of Swirl in this course to reinforce the basic concepts.

By Harikrishnan S

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Jun 8, 2017

Training is good, but assignments are even more interesting to work on..

By Parikshith R G

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Sep 9, 2016

Personally very fulfilling. Learnt all the basic stuff I needed to know.