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Learner Reviews & Feedback for R Programming by Johns Hopkins University

4.5
stars
22,228 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

DK

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The content is superbly designer for a beginner. The Swirl assignments need to make compulsory. Infact they contributed more to the learning process. More Swirl contents will make the course richer.

JM

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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.

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3076 - 3100 of 4,735 Reviews for R Programming

By Alessio I

Sep 20, 2020

Amazing course, it really gives you insights for the basic of R coding! According to me, the only problem is that there is a big gap between what is taught during the lectures and the skills needed to pass the assignments.

By Deleted A

Mar 29, 2018

All the things are pretty good and informative. The only point is that rate of getting new lessons are a little high so you need to spend lots of time a week to get familiar with all the subjects and doing the assignment.

By Wenjing L

Oct 10, 2016

It was a great experience taking this online course. Love the swirl() learning package. The course difficulty level is appropriate for me. Worked hard, practiced a lot, and finally got all the credits and the certificate.

By Katharine R

May 3, 2016

Assignments were difficult but would have been easy had I first been exposed to the material in later courses. Not sure why the specialization is structured that way. I'll definitely revisit my code for these assignments.

By Melanie M

Feb 15, 2016

Overall this was a good course. It does assume some prior knowledge/experience of programming, which makes some parts of he course challenging for a newbie. However, I would recommend it to anyone beginning the R journey.

By Rohan K

Mar 4, 2018

In this course, a tutor should explain what is rnorm and how their values are distributed and also assignments are way much harder for beginners. we cannot even have an idea how the particular function should be created.

By Sam C

Mar 19, 2017

Great courses -- the only thing I would improve if possible, would be more incremental steps leading up to assignments. Swirl was a lifesaver for this, but I would love more Swirl exercises to get the hang of each topic.

By Xiaoyang C

May 1, 2020

The teaching videos are great, but there is a comparatively large gap between the difficulty of the material been taught and the assignments need to be done. I hope there will be more helping materials on assignments.

By Satyajeet M

Oct 16, 2019

THIS IS A GOOD COURSE BUT A WAY TOO TOUGH FOR BEGINNERS . SO ONE MUST HAVE A LITTLE PRIOR KNOWLEDGE IN R. ASSIGNMENTS WERE A LITTLE TOUGH THAN EXPECTED. QUIZES WERE CHALLENGING AS WELL. OVERALL THIS IS A GOOD COURSE.

By Scott M

Aug 25, 2017

The basics are covered well, but then there are big jumps from what is taught in the videos to what is expected of you in the assignments, which are really tricky.

Otherwise, for an online course, this is really good!

By pritam k

Mar 19, 2023

Course is great to start learning R programming. It gets complex at some stage for non programmer background but the swirl R programming interface module of practical is awesome. Thanks for this course. Its awesome.

By anar

May 13, 2020

It contains educative videos and quizzes, which help to start R programming. One defect: programming assignments are harder than the videos. Often it requires to know additional things to complete these assignments.

By Andy L

Nov 19, 2018

The assessments didn't really follow from the course material, or at least not in the correct order all the time. Could be better coordinated between what is taught in advance of programming assignments or quizzes.

By Abraham A

Feb 12, 2017

This is a very good place to start if you want a career in data science. I really learnt a lot and currently using it my data analysis projects. I would recommend this course to any one who likes to work with data.

By Yuxuan Z

Jul 30, 2016

I think there is something not so important but occupys a large part of this class. Maybe you can rebalance the priority of this the contents in this class and replenish some introductions of more useful functions.

By Babacar G

Apr 5, 2016

The course is so hard for whom who don't have a Statistical background. The number of submissions are too numerous for professionnals who have only the weekend to do tem all. The course's projects must be reviewed.

By John V H

Nov 2, 2019

The course was great. It really pushed students to learn R with real world assignments, and the lectures made sense. The only draw back was the level of the assignments were greater than the lectures and lessons.

By Paul L

Nov 7, 2016

I'm really learning R with this course but it's a pity in the last quiz of week 4 the code asked to type in in the last 3 questions didn't work. However it was easy to work out what the question was trying to ask.

By Anjali T

Nov 6, 2016

A little difficult and fast but you do get to learn a lot. The plus point is that Coursera provides ample of time to get through with this course which really worked for me since and I'm working and studying both.

By Elena F

Jun 10, 2018

A useful course dedicated to R programming. It's bit tough for those who have little programming experience, so including more practice sections would help a lot to bridge the gaps between assignments and theory!

By Said E M

Mar 7, 2018

Good intro into R and the respective toolchain. Maybe a bit steep for newbies to programming. Also some excursion into the math might have been nice. For non-english natives the terms are sometimes not known yet.

By Jade N

Dec 12, 2016

This R course is quite overwhelming for those who start learning R. R course from Duke university will walk through from step by step. From that, this would be wonderful to learn R from John Hopkins university.

By Álvaro S F

Sep 5, 2020

I would like to have more practical exercises aimed at easily fulfilling the final assignment project, since sometimes I have found myself with problems to know which functions to use in order to properly code.

By Emilia B A

Jul 10, 2020

It was very interesting and helpful. But, while the lessons where meant for beginners (such as myself), the programming assignments where for people with previous programming experience and not people like me.

By Francis P

Dec 29, 2019

I want to give this course a '5' but I believe it could be more in-depth and could introduce the idea of making packages as a "fifth week" topic. Otherwise, great! I feel well grounded in R and ready for more!