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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

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.

EJ

Jul 11, 2016

Excellent course! I already knew a lot about R - but this class helped me solidify what I already knew, taught me lots of new tricks, and now I have a certificate that says I know `something' about R!

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3476 - 3500 of 4,737 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.