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Learner Reviews & Feedback for R Programming by Johns Hopkins University

4.5
stars
22,202 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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1051 - 1075 of 4,729 Reviews for R Programming

By Connor G

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Aug 1, 2017

Excellent course, got me started in a huge way on the path to becoming a data scientist.

By Juan A

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Oct 30, 2020

I liked the way to explain the function of this course and the support of the community

By Dr. R M ( - U M

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Jun 12, 2020

Covers the basics of R-Programming. Some familiarity with programming would be useful.

By Rob S

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Dec 23, 2019

Very good begin for R-programming, but i think without programming background very hard

By Sona S

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Dec 27, 2018

Very very precise and to the point content. Exercises Interactive and at good intervals

By Sahil K

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Sep 3, 2018

Amazing course of R programming that will teach you almost everything about R language.

By KESHAV K

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Oct 24, 2017

Very helpful and challenging.. I'll be doing more courses from Coursera in the future..

By Deepak S

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Oct 16, 2017

Good course to get basics of R programming.. Use this knowledge to sharpen it further..

By Harshavardhan S

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Sep 28, 2017

A nice course to get introduced to and get comfortable with R Programming very quickly.

By Bruno A M

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Jun 27, 2017

Very well structured, the course is demanding enough to both push and keep you focused.

By John W

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Jan 22, 2017

I have been programming in R for years, but I did learn some new things in this course!

By nora z

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Dec 10, 2016

This course was great , I learned a lot from it and I am motivated to continue learning

By Ricardo R

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Oct 24, 2016

Great introduction to R. Force the student to change the way of thinking data analysis.

By Raúl M

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Feb 15, 2016

Very nice course for beginners in R!!! Practice with swirl is the best of the course!!!

By Anupma v

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Jan 3, 2021

Great course. Learned a lot! Doesn't assume much and takes you deeper in to R. Thanks.

By Olga O

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Aug 10, 2020

Very good and understandable course. It's a relevant general view about R Programming.

By PAVITHIRA S S

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Nov 12, 2019

Thank you for handling this course. I am very happy and grateful for working with you.

By Prasiddha S

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Jun 18, 2019

One of the important course in Data Science Specialization, easy to grab the concepts.

By Sheila K

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Mar 18, 2019

Very tough for a non-programmer novice, but the grading requirements eased my anxiety.

By Royce S

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Sep 27, 2018

Swirl is great. The Assignments are challenging and really helps you hone your skills.

By Dimitris A

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Aug 7, 2018

Certainly tough material, which means that you learn a lot! I truly liked this course.

By Hanzel A D A

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May 17, 2018

Excellent course, easy to understand, very useful for start in the data science world.

By Arpad T

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Apr 29, 2018

Fun assignments, and I also really like the Lecture --> Swirl --> Assignment format :)

By Nilesh R

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Dec 18, 2017

Excellent course for a beginner. It will help you to practice for the reasonable time.

By Blesson B

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Mar 26, 2017

Really good and explanatory for beginners. Quite useful to in understanding the basics