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Learner Reviews & Feedback for R Programming by Johns Hopkins University

4.5
stars
22,192 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 4,727 Reviews for R Programming

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.

By Julio C R N

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Jul 16, 2020

great explanations. A bit tiresome but because it goes into great details on the basics.

By Chih-Wei P

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Aug 26, 2016

It would be nice if you could combine the lecture notes into a single file for download.

By Camila R M

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Apr 10, 2021

Programming Assignments were not at the same level as the material taught in the course

By KSHITIJ S C

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Sep 2, 2020

Great course! Would definitely recommend to those who want to start data analysis in R!

By Jack J Z

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May 10, 2019

Homeworks and assignments are sometimes harder than what can be found in the textbooks.

By Gourav B

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Jul 4, 2018

Course is very good for beginners and will definitely enhance your R programming style.

By John K

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Jun 27, 2017

Great material and lectures, but a little advanced programming exercises for beginners.

By Jeyalakshmi S

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May 14, 2016

Very much helpful to understand the basic about the R programming. Very well structured

By Martin S R

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May 8, 2020

Teaching-wise it was great, but the materials for the assignments were too complicated