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Learner Reviews & Feedback for R Programming by Johns Hopkins University

4.5
stars
22,245 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

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!

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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3501 - 3525 of 4,736 Reviews for R Programming

By Ashish S

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May 19, 2016

This course would be one of the plus point for the job I am looking for.

By Yiting Y

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Mar 2, 2016

The class experience can be enhanced if there is more console operation.

By Dramane D

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May 12, 2020

Good course but need to improve explanation on the different assignment

By Anirban K C

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Nov 4, 2018

For lesson 3, the peer review exercise takes a long time to be reviewed

By Lau I L

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Jul 20, 2018

the programming tasks took much longer time than indicated by institute

By Chiranjeet B

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Nov 13, 2017

The Assignments were a bit tough, but It made me think out of the box.

By Anjali G

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Feb 18, 2016

Good course, a bit too hectic for newbies but totally worth the effort.

By Yunzhu F

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Mar 4, 2018

It is a good introductory course, but it teaches less than I expected.

By Mauricio E F

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Jun 12, 2017

Great course though the assigments are not so related with the videos.

By Dinesh B

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May 24, 2017

More videos on R required so that solving assignments becomes easier.

By Latif B

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May 21, 2017

very nicely paced and explained, could have been little more extensive

By John M

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Feb 16, 2016

Excellent course; some parts were difficult some parts were not. A go

By 진호 최

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Jan 12, 2016

good. this lecture inspire me to work hard. study hard and think hard.

By Antara S

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Jun 1, 2020

Would have liked to do more practice exercises apart from swirl ones.

By Bill S

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May 26, 2017

Very useful! I enjoyed it and immediately found use for it in my job.

By Ning X

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Mar 29, 2017

More code and result demonstration would be better for understanding.

By Michael P

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Feb 7, 2016

I would reduce the requirement of using Git. Otherwise, good course.

By AYUSH K

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Jun 19, 2020

It is good but I wished some basic knowledge was also given with it.

By Tousif I

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May 9, 2020

creates a very rigorous understanding of R. Glad i took this course!

By SHIVALKAR J

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Mar 28, 2018

The course was really challenging and made me enhance my skills in R

By Manish P

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Oct 23, 2016

Great job...projects were too hard..need more instructions on coding

By Makrand C

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Aug 10, 2016

Very good course.I would recommend others to go through this course.

By Dr. A I

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Aug 21, 2023

It was good course for learners but assignments were bit difficult.

By Prasadreddy B

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Jan 7, 2020

sir i am finding it difficulty to submit the peer review assainment

By Sergio A

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Sep 11, 2017

Classes don't cover all the subjects required to do the homeworks!!