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.

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).

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.

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.

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.

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.

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.

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)

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

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!

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.

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.

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

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.

I know programming but I'm completely new to R programming. I think this course is very useful, since it covers not just R programming itself but somewhat about the programming principle. The assignment is quite challenging for me, but I make it through with the discussion in the forum. Really like the pokemon example of the instructor, it helps me finish my assignment.

Nice course! I learned much from it. However, the knowledge sometimes didn't meet the need of student, especially in Assignment 1&3, which took me much effort and time to figure out the solution. Perhaps, professor can upload some video about the Assignment because many students, as me, would be thrilled and eager to see a explanations and deduction from the professor.

I knew very little about base R when I started. This course taught me all the basic, core concepts (especially scoping, which is really important in helping me write functions). Problems are challenging but so rewarding in the sense that you will learn a lot in order to come up with the correct solution. Love the course. (Spent 1 week on and off to finish the course)

The course is excellent, but it takes more time than I realized (at least for someone like me who is completely new to R). It took me up to 15 hours a week to understand the content well and complete assignments - which was more that I had anticipated. I had to make dozens of last-minute schedule changes to make more time for this course just so I could complete it

Awesome! It's a well-designed course for a beginner. The quizes and assignments ensured that I took an effort to browse and learn a couple of concepts in depth. Swirl exercises gave me a better understanding of what I've learnt from the vedio lectures. All in all, at the end of one month, you'll know all quick and dirty tricks to deal with huge datasets. Thank you!

This is a very usefull course where you learn many tools. There is a large volume of information, which in principle can be overwhelming, but which with the exercises are understood. The activity of correcting the work of others classmates allowed a much better understanding of what was learned. I hope have the oportunity to do other courses. Thanks Coursera Team.

This course is very difficult if you're new to programming and data science, as I was. However it will reward perseverance with practical R skills you can put to use straight away. I'm half way through the specialization and I've already managed to get a job as a data analyst -- in no small part because of the material I learned on this course. Highly recommended.

Good for beginner, but also very useful if you familiar with R but need hand on practical experience with the language. As my instructor would say at the University, you gonna need practice, and here is where you can start to focus on structured assignments with clear result need for each assignment. Complete the assignment and you will advance your skills in R.

This program is well structured and provides lots of examples with detailed steps to learning the course material. The swirl assignments were very helpful in getting you oriented and giving you a broader understanding to the program.

I will encourage everyone who want to take this course to do so. There is a lot of help provided again on the discussion platform.

It was a wonderful experience and really exiting working through the extracting and manipulating of data from files and data frames.This course had been a wonderful guide to words this amazing Data science technique.But i would appreciate if you could leave learners with plenty of real problem questions to deal with after the completion of this course.Thank You!

The course helps to get started with R's data manipulation tools. In course references are a great way to expand on the same. Course includes a little out of the box thinking (a requirement in programming), a bit of git bash and git hub and assingments. Assingments helps to strengthen on your concepts and are a good way to generate a bit of programming sense.