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!
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!
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.