"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!
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.
por 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.
por 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.
por 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.
por 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.
por 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!
por 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.
por 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 .
por 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.
por 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.
por 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.
por 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.
por 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.
por 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.
por 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.
por 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.
por Shubham S•
The learning curve throughout this course was great!
I was not new to R programming but still through this course I have managed to learn
a lot of new things.
Beginners should definitely choose this course.
por Santiago B S•
I excelled my expectations!
I'n not sure wether someone with no previous experience learn to code with this course; but I really improved my skills and noted some imperfections in my code after taking it.
por Steven C•
Well taught and incredibly useful course. R is a great language for statistical computing and data science, and this course provides a well-paced introduction to the language and some important features.
por Elijah A•
This was a wonderful introduction to the R programming language. I learnt a lot about programming in this course. Thank you so much John Hopkins University & all the instructors for this awesome course.
por CHEN L•
I am feel the assignments are really helpful. They help me rethink all the knowledge we learned and apply them in the real problems. without the assignments, I would not really understand R programming.
por Afsal N•
Very good course. The lectures introduce you to R step by step while the swirl exercises give you a hands on experience on the console. Creating interactive tools in R would have been a useful addition
por Liner C J•
Ha sigo un curso genial, muy completo. Ha llenado completamente mis expectativas.
El nivel de exigencia es alto.
Is a great course, has an excellent content. Has a high level of exigence in all aspects
before starting this course i have experience of R programming but this course gives me a lot of new function and how to build a function and a most useful function str,debugging and Rprof.
por Hyeonjin P•
This course is really good. It's difficult to understand every contents perfectly if you are beginner.
But the content of this course is excellent. When you finish, you get a good level of achievement.