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.
WH
Feb 2, 2016
"R Programming" forces you to dive in deep.
These skills serve as a strong basis for the rest of the data science specialization.
Material is in depth, but presented clearly. Highly recommended!
By Gioachino B
•Oct 15, 2016
Simple to understand, lead you through the basics concepts of R programming language. The examples are clear and easy to follow.
By Yuan M
•Aug 18, 2016
This course is perfectly suitable for beginners like me. It gives a very clear and systematic introduction and basic rules of R.
By Undine S
•Jun 25, 2016
Very useful and compact introduction to R. After completing this course, you can start working on your data analysis right away.
By Rogelio R
•Nov 19, 2018
This course was very compact and useful. I feel more confident about manipulating large data sets with R thanks to this course.
By Khem W
•Jan 9, 2023
Very detail and clear explanation from the fundamental of programing . However the Quizzes and hand-on project is very helpful
By SYED S
•May 28, 2018
I love it. Especially the the interactive package 'swirl' they have created. I love it !
Looking for some other course as well.
By Attaur R
•Jun 5, 2020
The JHU Data Sciences program is relay good and very beneficial for all the researcher, students quantitative related fields.
By Nicolás H
•May 23, 2020
Te ofrece herramientas muy poderosas de una manera muy sencilla. La práctica exige algunas horas extras, pero nada imposible.
By Neil K G
•Mar 9, 2020
Great way to get accustomed to the syntax in R! Previous programming experience definitely helps, especially with dataframes.
By Ellroy M
•Dec 4, 2019
I loved this course, Roger is an excellent tutor, the swirl program is amazing, I am going to continue using it for practice.
By Mincheol S
•Jul 28, 2019
Very helpful for beginners! I learned a lot from this especially about how to code functions in R to utilize whatever I need.
By Roopak M
•May 13, 2017
Very nice and quick paced course for someone looking out to get started with R! The concepts are covered in a concise manner.
By Vitaly B
•Dec 9, 2016
Very good step-by-step introduction to R. Requires a lot of practice with the language, which is the best to way to learn it.
By Fabio N
•Jun 10, 2016
The quickest way to start using R. In my opinion, previous experience with programming logic is required. Highly recommended.
By Ruggero B
•Mar 20, 2016
I've seen a general improvement in quality respect to the other about exploratory analysis, nothing else to say! Awesome job!
By Francisco A O A
•Feb 4, 2016
This is the base for the Data Science Specialization. It is s serious course and an excellent introduction to R Programming.
By Ayesha M
•Dec 19, 2020
Great Course for R Beginners, the assignments were the right amount of challenging and that's where I learned the most from!
By Kristen P
•May 14, 2020
The course comes with an interactive library called 'swirl' that allows plenty of practice in RStdudio. Highly recommended!!
By Jia B
•Nov 11, 2019
It's nice to have this opportunity to learn R on Coursera! I especially like Swirl, which is a wonderful tool to self-study.
By Nirbhay N A
•Jul 14, 2018
Superb course content for starters like me. Especially the assignments are really good. They help to get the concepts clear.
By Enrique V
•Jul 2, 2018
Course materials and mentor support are great. Programing Assignments can be challenging at times, but are worth the effort.
By Dayana A
•Feb 12, 2018
Good even for beginers. Right doses of theory and practice portion. Useful practice exercises and clever project assignments
By Quiniou C
•Aug 21, 2017
Dans ce cour on y apprend à utiliser beaucoup de fonctions et également des outils de diagnostique et d'optimisation de code
By Holly Y
•Mar 3, 2017
the course design is great! I found the exercises in swirl is interesting!
I learn a lot in short 4 weeks! @Roger thank you!
By Samantha H
•May 30, 2018
Very straightforward - I took CS in school and these lectures were a lot more clear and concise than those I had in school.