Very challenging, but good course. I've been programming in R for over a year, but there were still some things for me to pick up in this class. Assignments were a challenge, but satisfying to tackle.
"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!
By Sai S•
some of the assignment I thought difficult cause they were not related to the video lectures, but then you see the discussion forms are always useful, just be patient with the assignments.
Really enjoyed this Course.
By Niklas v d A•
Very good course. For me, subsetting, filtering and ordering data is a very frequent task. Thus, it would have been even better to go into more detail in this regard; or it would have been nice to see more examples.
By Angelina B•
It is a very helpful course with a lot of useful examples from real life and programming exercises. This course will imrove your theoretical background in R and allow you to put newly acquired skills into practice.
By SATAKSHI R•
Thank you so much for giving such a nice platform to learn and improve my skills. The lectures and videos and assignments really improved my R skills and I enjoyed solving each and every task given in the course.
By Frederick C•
I have taken R classes in grad school. I can honestly say that I have throughly learned R from this course. I like the approach and the background foundation that they setup to learn the rest of the language.
By Shariful A S•
Very informative and comprehendible course for the beginner, well-organized content with the assignment and even peer-reviewed task - a complete package from prestigious institution JHU, really love this course.
By Muhammad I U•
A good course. Best for those who have knowledge of R programming or some other. However, a beginner has to do a lot of work. Functions related assignments are relatively difficult compared to the course taught.
By Cody A R•
This course was very good. Especially for coding assignments, I think that being able to view possible solutions would be a bonus. Often times the grades page says "see feedback below", but there is no feedback.
By Hathairat W•
I don't have much experience in programming but this course has helped me a lot. I really enjoyed the course, trial and error, google and read forums to guide me to the right answers for the assignment and quiz.
By Mathivathani R•
The course was well designed, making the learner independent and confident to deal with R at the end of the course. This is going to be very useful for me who is trying to do big data analysis in social sector.
By Marko S•
Optimal R-learning course. Teaching key R concepts that are carefully selected and extracted from a huge R knowledge base. One of the best introductions: containing both simple and complex R programming topics.
By Willie C•
Excellent introduction to programming in R. The instructor's video lectures are very informative, and the assignments are well designed to test and expand your knowledge. I learned a lot in a very short space!
Gives a good basic overview of R. Easy for people who have programming background in similar languages (python, R), but not proficient in R. It may be hard for people who don't have any programming background.
By Taylor W•
So far this has been my favorite programming course. This is coming from a person who really doesn't like programming at all. A basic understanding is required in my profession and this course helps immensely.
By Jay S•
Best beginner's course in R. You will learn all the necessary nuts & bolts of R programming, plus how to write your own functions & work with data files in R.
Perfect launch pad for a career in R programming!
By Umer F•
Head start for learning R Programming. great resource.
Though I little improvement needed. Like, when instructor teaches, if he could use digital pen, engagement of students can be improved. just a suggestion.
By Jaydrath B•
A course that is very well structured . Hats of the instructor for very good videos and clear explanation of various topics.
of the various text books out there, this text is one of the best and a must read .
By Harsh R G•
I have done the previous course in the series that is The Data Science Tool box. So with that in mind I think this course is exceptionally well made. I thoroughly enjoyed the whole course and the assignments.
By samuel c j•
Estuvo genial!!!, el último assignment fue intelectualmente estimulante, aplique varios conceptos aprendidos en el curso que con toda seguridad cambiaran la forma en la que programo en R de aquí en adelante.
By Wei Z•
it would be even better if data frame gets more discussion, such as subset a data frame. As to debugging, how to use R studio debug tool can be included since that is the working environment most people use.
By Stephen C•
I love this course. Very easy to follow, but also has very challenging homework. THere is some disconnect sometimes between the lessons and the assignments, and often there's a steep learning curve for them.
By Sharad E•
As a non-programmer, I found this course a grilling, uphill personal challenge, which I successfully completed.
I encourage every aspiring Data Scientist to go for this course, as it is tests you completely.
By Waleed A•
I highly recommend this course for any one who wants to get hands-on experience with R programming for the first time. I enjoyed the lecturers approach in teaching this course and the accompanying exercises.
By Giovanna A G•
This is an awesome course! Prof. Peng explains very well how to become proficient in R programming. Even if you have no prior experience in the subject, just like me, hard work and discipline will pay off.
By Zeeshan Z•
very interesting learning experience with coursera. Swirl library is amazing as far as practice is concerned.
Thankful to coursera and my respectable instructors who make this successful and possible for me.