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Learner Reviews & Feedback for R Programming by Johns Hopkins University

4.5
stars
22,171 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

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!

MR

May 11, 2020

Really interesting course. The interactive coding sessions with swirl are especially useful. Would be great, if you provided sample solutions for the programming assignments, in particular for week 4.

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4051 - 4075 of 4,720 Reviews for R Programming

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 Iain L

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Jul 16, 2020

Useful content, but the assignments often don't consolidate what's been covered (i.e. aren't summative), instead introducing new topics which requires independent reading.

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

By Thomas D

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May 30, 2020

Lectures were a little disappointing but I learned a lot with the programming assignments. The assignments were difficult and quite time consuming but worth the effort.

By Anmol B K

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Dec 14, 2018

The course is not for absolute starters, i recommend having some background of R prior to taking this up. The assignments and exercises are good to gain some knowledge

By Daniel G S M

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Mar 21, 2021

The course lectures and swirl lessons are quite well structured but the assignments are out of proportion. It is quite hard to get them done. For me, sometimes weeks.

By Gabriela K

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Dec 2, 2020

Hay mucha diferencia entre la teoria y ejemplos presentados y las actividades que debemos realizar en R por nuestra cuenta. Falta explicación de estos ejercicios.

By Sourav R

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Nov 27, 2016

I could not complete it as 100% because of a bug, in week 3 quiz and week 1 quiz. in week 1 2questions will never get a correct answer. Same case with week3 quiz.

By Daniel J R

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Jul 11, 2018

Video lectures were not very engaging. Assignment No. 2 causes student frustration unnecessarily. There's other and better ways to encourage a hacker mentality.

By Diego C

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Dec 20, 2020

The lectures were good but the assignments were just too hard for me, I was really lost... I think there is a great difference between lectures and assignments

By Paul J

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May 30, 2018

Don't get me wrong, I did learn R programming from this course. But it was not well designed and the assignments didn't always mesh with what was being taught.

By Yasin

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Aug 17, 2023

I think it is pretty hard for an entry level course and there were a lot of things which we haven't seen in the lectures but wanted to do in the assignments.

By Timothy K A

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Sep 7, 2020

For whatever reason, my biggest complaint is that the coursework did prepare me very well for the assignments. This was frustrating and somewhat inefficient.

By Marcos G A

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Jul 31, 2020

The programming assignments are way over the level for this course. Is nice to make it hard but too many things I never fully understood from the assignments.

By V. V

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Jun 27, 2020

Very very tough for the beginners. Without high background knowledge of statistics, only having the programming skills are not enough to complete the course.

By Derek P

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Feb 2, 2016

The course had too much stuff crunched (and poorly explained) in too short a time period. That said, I got something out of it using a self-directed approach.

By Apivat H

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Mar 29, 2018

There's a gap between what's covered in the lesson and the assignments. I had to go elsewhere to fill in those gaps. Otherwise, this is a very useful course.

By Diksha J

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Jul 27, 2020

Assignments were way harder than what was taught in the videos, did not pay attention on various objects used in R and also on how to correctly write codes.

By Aishwarya K

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Dec 31, 2020

The course is too old to be relevant for current environment. There were certain functions that were used in the early weeks, but explained in later weeks.

By Luis P I S

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Jul 16, 2020

Huge gap between difficulty in assignments and lectures leads to frustration at times., but overall the course is good. The swirl exercises are excellent.

By H. A E

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Apr 17, 2018

For an introductory level class, the progression of the classes could have been more gradual. Classes and assignments seemed a bit disconnected at times.