Feb 03, 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!
Jul 12, 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!
by Jaydrath B•
Sep 17, 2017
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•
Feb 19, 2017
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 Stephen C•
Jun 27, 2018
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•
Aug 22, 2017
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•
Jan 23, 2017
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•
Aug 19, 2016
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•
Nov 22, 2018
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.
by Shubham S•
Jul 21, 2019
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.
by Santiago B S•
Jun 15, 2019
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.
by Steven C•
Mar 15, 2017
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.
by Afsal N•
Jan 10, 2019
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
by Regena R•
Feb 21, 2017
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!
by Rob D•
Mar 03, 2016
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
by Deepak K V•
Feb 03, 2016
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.
by Meichen L•
Nov 03, 2018
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.
by Sven B•
Apr 28, 2016
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.
by John A R B•
Sep 22, 2018
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.
by Abdul S K C•
Jul 16, 2018
For anyone planning to set their foot in the vast field of data analytics and R, this course is what will set the momentum and actually make you fond of programming in R by the end of the course.
by Aviral B•
Sep 07, 2017
Great course for people who work with data a lot.
This course actually helps in looking at data in its basic forms, helps understand transformations better, and gives ideas about playing with it.
by Arun C•
Aug 08, 2017
The course is good however I felt the programming assignments were too difficult compared to lectures. Which however makes us work hard and refer to a lot of solutions to arrive at our solutions
by Pavel F•
Jan 24, 2017
This course is a great place to start learning R (and any programming language at all). Due to it I fell in love with R and the whole domain of data science. Do I recommend it? Yes! Thanks, JHU!
by Anjan D•
Mar 02, 2016
It is a very well organised course. I really like the swirl assignment programming assignments. It for doing exercise and learning at the same time. I am very much impressed and learning a lot.
by wenlei b•
Nov 21, 2016
very comprehensive for those who has a little coding background but new to R. The programming quizzes are very helpful for practicing coding. I suggest solution codes by instructors be posted.
by Felipe H•
Feb 28, 2016
Excellent course for everybody who wants to know about R and some programming. A basic programming background as a pre-requisite should be required because the pace of the course is very fast.
by Michael S•
Mar 19, 2018
I felt this course covered an adequate distribution of introductory material in the right amount of time. In particular, the swirl() library is incredibly helpful and well-designed. Cheers!