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Learner Reviews & Feedback for R Programming by Johns Hopkins University

4.5
stars
22,262 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

JM

Aug 11, 2019

Very challenging, but good course. I've been programming in R for over a year, but there were still some things for me to pick up in this class. Assignments were a challenge, but satisfying to tackle.

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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4051 - 4075 of 4,738 Reviews for R Programming

By Tushar B

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Sep 18, 2018

The overall structure of course is good for Beginners but the programming exercises are too advanced as compared to what is taught in this course. Kindly, tone down the level of assignments.

By Arvind C

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Sep 6, 2018

I found that there was a huge gap between the level of coding demonstrated in the videos when compared to what was required to complete the assignments. I liked the content delivery methods.

By Urvashi B

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May 26, 2020

There is major gap in the course syllabus and the assignment tasks. I have to always spend hours on the internet to accomplish my assignment goals.It would be great if this gap is bridged.

By Jamika A E R

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Sep 30, 2020

The assignments are moderate in difficulty. However, they are often not related to the lectures from the same week. At the same time, a lot of topics covered in lectures were not applied.

By Adrian A

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Sep 14, 2017

nice course, nevertheless it was way too challenging. I believe this course would be much better if it would be a 12-week course instead of 4, and it would go slower through the material.

By Rana

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Mar 16, 2016

I am finding it very difficult to follow, feel like I am missing a chunk of information. However I will say that everyone else seems to be managing so it is probably me missing something

By Xiyu Z

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Oct 17, 2019

no comment with the content, however, as being slightly obssessive, the way of the lecturer uses when talking, and the sounds of the lecturer, just made me only want to see the text.

By Houndboy

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May 6, 2022

The instructor, text, lectures, and Swirl exercises were great. However, the programming assignments were very difficult given the level of programming skill taught in the course.

By Paul R

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Mar 11, 2019

OK as introduction to R, the course works through data structures, functions, etc. Swirl exercises are helpful. Assignments involving basic data analysis start to get interesting.

By John S

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Apr 25, 2023

A good course but the peer review assignment, I cannot recommend this course. If coursera want to promote peer review assignments, they need to improve and streamline the process.

By Chris M

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Mar 12, 2016

The difficulty of the assignments increases fairly dramatically week over week. It might be more productive to scale this content more gently by dividing it into a two-part course?

By Krishna M

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Mar 4, 2016

In some cases I felt the course lecture (video) was bit tough to understand and few things could have been explained better. The Swirl complemented and filled most of these gaps.

By Kevin F

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Jul 9, 2020

poorly thought out course. Assignment does not evaluate what you learn from the lecture videos but rather explores new topic. Nonetheless, it still teaches the basic R programming

By Dr. P k A P - K

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Nov 5, 2020

The assignments where not properly designed. Few of the lectures on loop functions could have been better explained. Swirl assignments where good but where not a part of grading.

By Salman B H

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Jun 2, 2020

Mostly a good course. However, the synchronization wasn't good with the course material and quiz/assignments. All of the required skills were not covered in the video lectures.

By John J

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Mar 3, 2018

This course will teach you a lot but it is very difficult. The programming assignments are very challenging. I would not recommend this for someone who has never used R before.

By Tom J

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Sep 18, 2019

Content covered is great. Assignments take a very large leap in material from the videos. I would recommend making swirl lessons required and adjusting difficulty accordingly

By Jingyuan X

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Dec 30, 2017

some knowledge needed in the programming assignment is not covered in the lecture, my friend and I spent so many hours searching around and debugging in order to figure it out

By Juan C L T

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Dec 12, 2016

The course is challenging and the exams use real-world data.

The sequence of the course is not linear, the exams are too difficult compared to the material covered in classes.

By Svante L

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Apr 5, 2022

Too basic and too much time spent on general programming trivia if you have considerable experience from other languages and environments. Should be suitable for beginners.

By Aaron B

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Aug 18, 2016

I'm not saying R Programming has to be a gripping subject, but this course is pretty dull. The value of good teaching methods is often underrated in transferring knowledge.

By Hunter M

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Oct 1, 2023

The material covered in the lectures was helpful at getting started with R. But the assignments were far beyond what the lecture covered and taught the students how to do.

By Houda N

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Sep 4, 2017

Le cours en lui-même ainsi que l'entrainement sur swirl sont bien réalisés. En revanche, les devoirs à rendre sont à un niveau bien en dessus de ce qui nous est présenté.

By Duncan P

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Feb 15, 2016

Good course overall but assignments have too little guidance in how they should be completed and can its easier to use material from future lessons to solve the problems