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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

YZ

Jul 16, 2020

This is course is probably my favorite out of the Data Science: Foundations using R specialization. There was plenty of opportunity to practice and further develop by burgeoning R programming skill.

RR

Feb 20, 2017

I am pleasantly surprised with the quality of this course. For a beginner, the Swirl exercises are incredibly helpful and I was able to build confidence in working with R because of them. Thank you!

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3401 - 3425 of 4,750 Reviews for R Programming

By Franklin A A S

Mar 16, 2019

This a great course, but YOU NEED TO MAKE easier assignments, because they extremely difficult.

By Abha S

Jul 24, 2017

Gives a good introduction to R. Advised to be followed up by application related courses for R.

By Xing C

Jun 2, 2017

Good course. While, project assignment is too hard comparing with what I've learned in lecture.

By Charles M

Nov 10, 2021

R programming is a good course but it took me time ~ 4 months to complete as it is new for me.

By Chong C

May 28, 2019

It is a very worthwhile class, but I think the assignment is a little harder than the lecture.

By vaibhav p

Sep 10, 2017

The course is good for someone with no background of programming. But it is not very rigorous.

By yajing h

Mar 16, 2019

Course is well written. The textbook is very useful. However, the material is a bit too easy.

By Kate S

Aug 24, 2017

Very worthwhile although needed to keep checking the forums for extra advice on the projects.

By Andre M

Dec 4, 2016

Muito bom o curso, todo profissional que deseja trabalhar com ciência de dados precisa fazer.

By Yan H W

Nov 6, 2020

Very good lectures. Sometimes the gap between learning material and assignment is quite big.

By Pedro F E M

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

Jun 29, 2020

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

By Javier G

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

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

Sep 25, 2018

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

By Vaibhav K

Apr 2, 2018

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

By Biljana B

Jan 16, 2018

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

By Michelle M

Nov 3, 2017

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

By Avinash A

May 14, 2017

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

By Daniel R

Feb 12, 2016

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

By 楊承翰

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

Jan 18, 2016

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

By Muthukumaran P

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

Jan 6, 2018

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

By Ludwid R

Oct 27, 2017

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