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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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3401 - 3425 of 4,736 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.