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 José S
•Mar 4, 2018
good course, But I would like to see something approaching codding more like production, or even projects, real life projects to in.
By Chenyu L
•Jan 20, 2018
Thank you for all the instructors. Thank you for my classmates who help me grading my assignment.
I am so happy to attend this course
By Karthik Y
•Mar 9, 2016
nice working with tools and i'm seriously loving to get to know more regarding data science. R programming helps to achieve my goal.
By mario s
•Mar 2, 2016
Thanks so much for amazing course , I want to say that this course is more valuable to me and i love your teaching so much and Swirl
By Shujing Z
•Jan 31, 2019
The course is challenging but worthy. The forum is a good place for me to discuss or view other people's problem and relative help.
By Umar P
•Oct 8, 2018
Course was really helpful in understanding R Programming even for the students like me who didn't have any previous background in R
By Vipul P
•Dec 20, 2020
Nicely explained the basic and few advance technique for R programming. It help to start my R programming work in Clinical domain.
By Judith W
•Apr 18, 2020
The course covers a good overview of R, and offers a lot of training exercise that are immensely helpful, I thoroughly enjoyed it!
By Martin H
•Oct 11, 2019
a great course, containing everything that is necessary for the upcoming courses or to start exploring more depth of R on your own
By Shahrokh N
•Nov 22, 2017
This was an interesting course, but I would suggest to change (slightly) the format of the lectures. Supporting with more example.
By Herson M
•Nov 8, 2016
Excelente curso, me auxiliou e muito no aprimoramento das minhas habilidades com R. Estou maravilhado com as novas possibilidades.
By João V R L
•Jul 18, 2020
Curso bem detalhado e prático. É possÃvel ter uma boa ideia inicial da linguagem de programação realizando os projetos indicados.
By Indigo M
•Nov 19, 2018
This was a very clear, easy to follow introduction to R. Swirl exercises were a great way to get some hands-on, guided practice.
By Joao B M
•Nov 17, 2017
Very good course, I am learning about R programming in a friendly way, doing exercises and so on. Congratulations for the course.
By Francisco J H S
•Feb 19, 2017
The course is Awesome. I liked the hospital Exercise, but it would be great if you can add more optional exercises like this one.
By wenzeng
•Jan 15, 2017
Really wonderful course! This course is informatic and the assignment is in great help for a beginner in R. Thanks for your work!
By Praveen M
•Jan 31, 2021
Finest !!! Detailed & good explanation of concepts. Interesting assignments to check on your learnings. Very good to work on!!!
By Thiago F N d J
•Jan 28, 2021
Good course, has a broader approach to R. Surely you will learn more in the practical exercises, which are somewhat challenging.
By Changmin S
•Jan 18, 2020
I thoroughly enjoyed the fun (and torture) cracking the codes. Absolutely a must to proceed to rest of the Data Science courses.
By Yezehao H
•Mar 9, 2018
Assignment is too hard, teaching content is not enough for people to complete the assignment and requires more detailed guidance
By Magnus B
•Nov 7, 2017
I think this is a great course for anybody who's interested in learning R. Even though it starts at a basic level, you will lear
By VENKATESH G S
•Jul 1, 2017
Nice and informative course...good instructor...due to this course I am able to teach R Programming.........Good Experience.....
By Eduardo A
•May 25, 2017
Exactly the necesassy overview of R with very detail explanations, if you want to learn R this is the first course you must take
By Damian
•Apr 7, 2017
Well designed for beginners to intermediate programmers analytics, Pay much attention on swirl, and other additional literature.
By Jan K
•Mar 7, 2017
Really well organized and compact. A nice introduction to working with R. A plus for showing were to look for further resources.