11. Juli 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!
2. Feb. 2016
"R Programming" forces you to dive in deep.\n\nThese skills serve as a strong basis for the rest of the data science specialization.\n\nMaterial is in depth, but presented clearly. Highly recommended!
von Joao M•
13. März 2016
I must confess that this course is difficult for who is beginning programming with R, the assignments require a lot of work and they are very involved. Nevertheless, I´m extremely satisfied. The book and the lectures are very good and the quizes and exercises forces you to really understand what you are doing or you cannot pass...it is what I really wanted! Thank you Coursera and special thanks to the instructor for his great work!
von Brandon G K•
24. Jan. 2016
Wonderful course! I had never programmed in R before and this gave me all of the foundational tools I needed. It gives you just the right amount of hand-holding while also requiring you to think critically about what you've learned and what you need to use to accomplish the assignments. I highly recommend this course to anyone interested in learning R. Also, the "Swirl" library that was used for basic R exercises was fantastic.
von Emily S C•
13. Feb. 2016
I love R. This course is a great introduction to being programming in R. It is not easy, and this is the 4th time I have enrolled and will finally be completing the course (yay!). Plan to watch all videos (I watch them on 3/4 speed) and re-watch many of them for clarification. It may be easier for those with prior programming experience. Don't let week 2 get you down, do the SWIRL exercises, and ask for help from your classmates.
von Silvia L•
26. Apr. 2020
The step by step instructiona helped me to complete the course succefully. I had the best experience learning it at my own pace, and the interactive learning session was an added fun to the whole course! ! The Coursera team did a great job.
I would like to thank Coursera team for providing such a good opportunity, for sharing excellent video lectures and the swirl practica exercices helped me a lot to understand the videos.
von Jaydeep S•
26. Juli 2016
I am reviewing at very early stage (after 1 week of my study in this course) but I am pleased with the entire flow, management etc of the course so far.
SWIRL is I would say one of the best feature. Along with vid-lecs it gives us a perfect opportunity to get our grip on the programming.
Wish we could have such facility with all such programming environments. :)
Hats off to all the makers of the arrangements. Thanks a lot :)
von Tarun S•
7. Mai 2017
Awesome program. I strongly recommend this course to anybody who is looking for a comprehensive start on in R ! There is enough practice ensured in this course through "swirl exercises", "graded quizzes and programming assignments on real world/ professional" data sets. At the end of the program, you will get confidence in R and with continued practice, can champion R for application in your domain. Strongly recommended.
von David L M•
27. Sep. 2020
Very good course, very complete and clear.
I felt that the programming assignments were a little tough for beginners as me (this is my second R course, by far the most complete of the two, and I have no previous programming experience, and my working experience in statistics is mostly with the Stata package, for non-programming issues).
But even considering this I think is a really good course and I recommend it a lot.
7. Mai 2020
Great course for anyone wishing to be a 21st century data scientist. While the course teaches one to write R Programming course, it pushes one to think outside the box. For instance, the ability to create real-world code to load data and be able to interpret it makes this course live. One has to think like a hacker who does not only wait to get everything from the class, but carry out experiments on their own.
23. Jan. 2016
Excellent course. I learn a ton. I'm already a programmer in a different language, yet I still found the class appropriately challenging. The lessons and exercises gave me enough information to know what I was trying to accomplish and where to find the answers, without spoon feeding me solutions. That suits me well, because I learn more from figuring things out than I do from regurgitating information.
von Kalle H•
23. Okt. 2017
Very good introduction course to R programming.
After having used the language professionally for two years I took course as part of completing the data science specialisation. While most of the material was well known to me this still proved to be a good review and I even picked up one or two new things.
For someone completely new to R or coding in general this will provide all you need to get started.
von Vidal C•
13. Okt. 2017
It was a challenging engagement. It required more time than I planned but in the process I learned a lot. I have a full time job, and I was taking another course in parallel then didn't have enough time for both. All in all without the concepts are clear, lectures are well structured, and R is friendly and fun. As a beginner I need more practice. The community and forum were a great source for ideas
von Jamal A•
14. Mai 2017
I had programming experiences in other language when I took this course and I was thinking it's going to be boring and long, but it was not. The instructor pointed very unique features of R (that are belong to R) and just wisely didn't spend too much time on basic coding features like for/while/if-else.
Also, I found R very powerful and interesting scripting language specially for data mining.
von João V P D•
21. Juli 2020
With this course I was able to going and zero knowledge to very a great understanding of R programming fundamentals. The lectures were very interesting and straightforward, and the subjects are really well chosen for a starting programmer in R. After this course, I think I is possible to run some data exploration and analysis in R (with a little bit of fast google research, if necessary).
von Rahul A•
7. Dez. 2016
Excellent Course! The lectures are very well explained, the practice exercises must definitely be done for practice (like the name suggests), and every assignment and quiz should be done not from the point of view of marks but understanding the concept and logically being able to implement the task. Complete the course in all seriousness and you're in great stead to use R for analytics.
von Sydney J B•
17. Nov. 2018
This course has broaden my understanding about what r programming is. It made me realize that the data that we have today can be used as answers if analyzed carefully. But in order to know the right answers, we need the tools to observe and manipulate what we have. Thank you for giving me a brief but concrete examples to understand how proper handling of data could be used in our lives.
von Juan C C M•
7. Juni 2020
Excelent course! The programming quices are challenging but with the use of the tools provided in the lecture videos and the swirl exercises, and a lot of patience and resourcefulness (and Google!), are tackeble. At the end, thanks to this course I feel confident in my capacity to continue the learning process of the r language, and ready to start using it to write functions of my own.
von Guilherme C B•
12. Jan. 2018
As a medical student with no programming background, I found this course extremelly challenging. It took me aroud 60h of dedicated work to finish it. The amount of information I learned was certainly rewarding. I definitely recommend the course, as it prepared me for working with some research projects that are happening now in my lab and also settle ground for other advanced courses.
von Lu L•
4. Sep. 2017
I would rate it 4.5 and rounded it to 5. This course is excellent especially in assignments contents. It covers R programming from basic to advanced and is very practical from my point as a public health professional. The only drawback is the assignments require much more than what the video courses cover so it will actually cost much more time to complete the course for beginners.
von Shyamsunder G•
26. Apr. 2020
This was a great course in the sense that it helped me in getting a feel of R. I can deal with dataframes, loops,etc with a certain level of confidence. The assignments are challenging. I know that I am far from perfecting the art of dealing with various objects in R but I can say with confidence that I have grasped all the basic tenets of R (which have been taught in this course)
von Илья С•
11. Juli 2021
Курс очень полезный, но практики в нем не хватает. Сделать практические задания, если раньше не кодили на R (или хотя бы просто не кодили) будет практически невозможно, потому что лекции построены в стиле "2+2 = 4", а домашние задания - в стиле "Решите теорему Ферма". Но если есть базовые знания, то очень пригодится этот курс - много полезных вещей, о которых нигде не говорят
von Yan Z•
14. Nov. 2017
It's really helpful for me. without any coding experience, it is difficult for me. When try to finish the projects, the logic of coding is simple, I sent most time is debug. I made so many mistakes.
overall, it is really a good start course. The forum is very helpful. Now when I have problem, forum is the first place I go to find answer, then google it. Thank you professors!
von Aleksandra F•
9. Nov. 2017
It is a great course. Smn says taking this course requires programming experience, but I would say it rather requires thinking, patience and sometimes googling =). Practice problems are difficult enough to understand the basics of programming. Lectures are shot, but I personally spent up to 20 hours for completing week assignment. I believe this right approach to education.
von Oscar J C C•
2. Feb. 2016
While this course advances at a fast pace, and Week 1 fits the needs of beginners, Week 2 is intermediate. It took me 9 months to be able to complete Week 2's assignments!
Still, the course is quite good as a measure of progress for beginner-intermediate R programmers, and it helped me a lot in my way to Data Science. I'm sure coming back to pay for the whole certification.
von Anas S•
27. Mai 2020
Beware that you will need to study hard for this one: this is one of the most interesting yet challenging courses I have ever been part of, the professor puts you on track and you do the rest, which is difficult but very rewarding. If you are interested in a language that could visually represent data and do various kinds of statistical analysis on.... R is your way to go
von Ben M•
9. Juli 2019
Excellent lectures. Very good format. Some materials could have used more explanation or guidance from text. In the end there was a lot of internet searching required, though this is probably realistic in most situations. The text book that the professor writes is probably very useful for the course, and I wish I would have read it along with the rest of the material.