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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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3401 - 3425 of 4,737 Reviews for R Programming

By Pedro F E M

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Jul 21, 2020

Even though is a good course, the assignments are not align with the contents of the course.

By Gabriel M B N

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Jun 29, 2020

Great content with really challenging assignments! An amazing opportunity to really learn R.

By Javier G

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Nov 10, 2019

The course was Ok. There is a library to make some exercises in R Studio very well prepared.

By William B B

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Jun 12, 2019

Very good starter course in R. I will say that I wish the course stayed in base R more, but

By Joan M

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Sep 25, 2018

very good learning curve with the excercises from swirl which i found to be extremely useful

By Vaibhav K

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Apr 2, 2018

Best Course for Beginners in R. Swirl Exercises are very good to learn faster. Must Do them

By Biljana B

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Jan 16, 2018

Excellent, except the programming assignments. They were partially insufficiently explained.

By Michelle M

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Nov 3, 2017

Good for learning r, assignments are challenging if you haven't done much programming before

By Avinash A

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May 14, 2017

contents are precise and well explained. Assignments are well prepared to grasp the content.

By Daniel R

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Feb 12, 2016

Bit unclear examples at times, scripts have excessive writing. Otherwise great experience :)

By 楊承翰

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Jan 27, 2016

I did learn a lot from this course, i know where to find the resource to solve my questions.

By Rafael P V

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Jan 18, 2016

Very interesting, sometimes there's things that you have to figure out by yourself to go on.

By Muthukumaran P

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Jan 29, 2019

This course helped me to learn the basics of R and to apply it in many problems of Science.

By Stacy M

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Jan 6, 2018

More advice/demonstrations/exercises on when to use what methods would make it even better.

By Ludwid R

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Oct 27, 2017

The lectures were informative; however, the homework assignments had a huge learning curve.

By Rodrigo P G

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Apr 18, 2016

Nice course and interesting material but the other students evaluation is quite subjective.

By Dushan Y

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Mar 30, 2016

Good fundamental overview of the programming language. I also liked the pace of the course.

By Shaurya S

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Sep 7, 2020

can do with more practical real life examples/ case study.

Swirl was a great tool to learn.

By Rishabh T

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Mar 31, 2019

Good content, videos are very useful. Also the swirl() exercises are best way to practice.

By Himanshu S

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Feb 24, 2019

excellent course for the beginner. best part is that swirl is also included in the course.

By Angel M

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Nov 6, 2020

The Swirl exercise are the best and more recomended part of the course! I learn a lot :D.

By KANTARIA M H

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May 28, 2020

Sometimes I felt little bit hard assignments in comparison of contents covered in videos.

By Laurent R

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Mar 31, 2019

This course is great, I loved the topics. However, the last assignement is a bit to hard.

By Himanshu C

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Apr 5, 2018

Very Good Coursera. Would Recommend Anyone who is pursuing acareer in R and Data Science.

By Ian S

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Jun 29, 2016

Good exercises and challenging course, but very hard if you do not know any R beforehand.