Learner Reviews & Feedback for R Programming by Johns Hopkins University
About the Course
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
MR
May 12, 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.
HH
May 12, 2020
before starting this course i have experience of R programming but this course gives me a lot of new function and how to build a function and a most useful function str,debugging and Rprof.Thank You!
3401 - 3425 of 4,745 Reviews for R Programming
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 11, 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 4, 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.
By Rodrigo P G
•Apr 18, 2016
Nice course and interesting material but the other students evaluation is quite subjective.
By Dushan Y
•Mar 30, 2016
Good fundamental overview of the programming language. I also liked the pace of the course.
By Shaurya S
•Sep 7, 2020
can do with more practical real life examples/ case study.
Swirl was a great tool to learn.
By Rishabh T
•Mar 31, 2019
Good content, videos are very useful. Also the swirl() exercises are best way to practice.