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Learner Reviews & Feedback for R Programming by Johns Hopkins University

4.5
stars
22,339 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

AB

Sep 6, 2017

Great course for people who work with data a lot. This course actually helps in looking at data in its basic forms, helps understand transformations better, and gives ideas about playing with it.

RD

Mar 2, 2016

A great introduction to slightly more complicated R programming. Basic concepts covered well and it builds nicely to the point where you feel like you can apply your knowledge to real world examples

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1076 - 1100 of 4,750 Reviews for R Programming

By PAVITHIRA S S

Nov 12, 2019

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

By Prasiddha S

Jun 18, 2019

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

By Sheila K

Mar 18, 2019

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

By Royce S

Sep 27, 2018

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

By Dimitris A

Aug 7, 2018

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

By Hanzel A D A

May 17, 2018

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

By Arpad T

Apr 29, 2018

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

By Nilesh R

Dec 18, 2017

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

By Blesson B

Mar 26, 2017

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

By Craig G

Jan 27, 2017

Excellent hands on intro to R, great for anyone looking to get into data science space

By Andres F L S

Jun 10, 2020

I think that is a course that give the basic knowledge that we need in R programming.

By Ricardo L

Nov 25, 2019

Very complete basic course. I recommend to do swirl exercises to get more experience.

By Matias C

Nov 11, 2019

Very interesting introduction to R programming. The swirl exercices are very helpful.

By Mohammad A

Jul 3, 2019

I really like your assignments and quiz.

It's really test the skills you have learned

By p.amirtha g

Apr 2, 2017

Extra-ordinary Course - Well structured course -Best forum for learning R programming

By Ramit D

Mar 17, 2017

This course just pushes you to the large world of R to explore, experiment and learn.

By Christian V

Jan 30, 2017

Great course for R beginners to get familiar with the basic functions of the program!

By Roberto V M

Sep 16, 2016

Difficult but worth it. You really learn to code in R and tools to apply in your job.

By kwangje.baeg

Jul 3, 2016

I think this class is one of the most beneficial course in Coursera !!!

Thanks alot !!

By Carlos E B

Apr 14, 2016

Curso muito bom! Pode ser desafiador para quem não tem um "background em programação!

By hippo d

May 12, 2021

Thank you.

It is not easy to explain so many things continuously, like what you did.

By mahmoud s

Jul 3, 2020

good course , i have learned more and earn new skills that help me to use r language

By Jerome C

May 10, 2020

Though But I pulled through. The Read materials must be updated to include more info

By Arunima R

Sep 14, 2019

Good course. A to Z of R is covered. The support team is very helpful. Love Coursera

By Yash R

Aug 22, 2019

This course allowed me to learn some keen aspects towards the field of Data Science.