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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

Thank You!

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.

This is course is probably my favorite out of the Data Science: Foundations using R specialization. There was plenty of opportunity to practice and further develop by burgeoning R programming skill.

I am pleasantly surprised with the quality of this course. For a beginner, the Swirl exercises are incredibly helpful and I was able to build confidence in working with R because of them. Thank you!

A great introduction to slightly more complicated R programming. Basic concepts covered well and it builds nicely to the point where you feel like you can apply your knowledge to real world examples

The content is superbly designer for a beginner. The Swirl assignments need to make compulsory. Infact they contributed more to the learning process. More Swirl contents will make the course richer.

Fantastic course for learning R in a dynamic way, with clear goals. A lot of information is given, so I'd say that studying in between lectures is a must, if one wants to learn things really well.

This is a very thorough introduction to R. There are plenty of exercises to quickly get familiar with the language. Some good guided assignments really help getting familiar with coding functions.

This course fully meets my expectations. It provides a concise starting point and even manages to introduce advanced concepts such as the 'apply' family. The final assignment is fully appropriate.

It is a very important course, despite being at introductory level opens the path to the data science, this is very important and I'm very excited by the possibilities. For me was very important.