Dec 26, 2018
Very Very Rigorous Course for a beginner on R language and because of its nature, after completing just one course, I feel like I have gained a lot of knowledge and also familiarity with R language.
Jun 18, 2019
A very good course to read and get the valuable content of R language. This is for the students who want to learn and practice the basic and some intermediate concepts of data manipulation.
by Marcinina A•
Mar 18, 2019
The course content itself is good and easy to follow, but one assignment has a recurring bug since at least 2 years back that prevents other students from successfully submitting a required assignment. Despite a long and active thread regarding this bug, the problem has yet to be addressed, preventing some students from completing the course.
by Harsh D•
Mar 21, 2018
Less practice items in this course. Majority is theory. Would have preferred if it had a some more practice material.
by Luciano P•
Nov 26, 2017
This course provides an amazing learning path for people who don't know R. Week by week examinations and work in the Studio environment are great to keep learning in a proactive way. The book has a huge amount of info and it is perfect for approaching R. Just I think the level required for final examination is way higher than what it was very well taught during the course.
by Pedro J O•
Mar 22, 2018
The use of swirl proved to be confusing to do week 2 test. I had to read the comment threads to figure out which subjects were needed for the quiz.
by Ulysses B•
May 12, 2017
Good intro and base for learning R programming. SWIRL tutorial nearly perfect for beginners like me. Quiz questions are fair but some questions are a bit vague and can have multiple interpretations as to what it is actually asking. Perhaps if the questions removed any ambiguity it would make it easier for newbies to work though the quiz questions without getting too frustrated to the point that they want to give up.
by Henrique R•
Jan 23, 2018
The swirl assignments follow a progressive structure and that's great, I was able to complete most of it even though I am totally new to programming. But the readings are not as easily comprehensible. There could be also more videos with examples. For instance, taking a look at the syllabus I don't think I'm completely able to import data from the web without a considerable amount of effort. And there was no swirl assignment on this specific subject. I've considered the course ok for a first approach to the R environment, but could improve a lot in the issues I've mentioned. Best regards, Henrique
by Andisheh P•
Jul 13, 2017
The final assignment is suddenly much more difficult than the rest of the course, otherwise a good course
by Tristan C•
May 15, 2018
You can learn most of it through the package swirl but the quiz at the end was a rewarding challenge that gave good practice. Would make it much better if it had video tutorials however
by Patricia J•
May 26, 2017
The course readings and exercises did not line up well with each other, and neither lined up well with the final exam. I really wanted to know more about tidying data and merging datasets but I feel like I kind of only got through the final with trial and error, rather than true understanding. I explored the forums and saw other people being frustrated. One post says this is just how JHU courses are....so I think I will try some R courses next from a different source.
by Hans H•
Mar 15, 2017
One must have some R knowledge prior to take this course. I would recommend to take the other R programming course from the Data Science track before.
by Hardik S•
Oct 25, 2017
This is a fairly good course.The interactive R environment is a little rigid and acknowledges correct answers only when certain specific codes are used but all in all .its good
by Jan K•
Nov 08, 2017
A little too easy for the certificate.
by KEVIN E A C•
Apr 30, 2017
It was very dificul, i think yoou need to improve the example you give the the students and be more interactive
by Juan A•
Feb 15, 2017
The instructors did nothing. They did not even respond to a single question through the entirety of the course. The information in the readings was helpful though.
by Elliott S•
Mar 03, 2017
I feel that the training could be more extensive prior to assignments. The assignments often cause me to randomly search packages for correct functions to use and how to apply proper syntax, etc.
by Nick B•
Nov 01, 2017
There HAS to be mentors/instructors around to assist with syntax questions during this process.
by Haoyu Z•
Apr 29, 2017
The instruction from the first three weeks does not sufficiently prepare me for the final project.
by Shahab E•
Oct 16, 2017
There is no relation between the readings and assignments. At the first video they mentioned that this course is designed for students with few programming experience(not in R!!). I have 10 years of programming experience with R, and I am sure that this course needs at least many years of programming experience with R.
The funny part of this course is that, they have just copied some part of an advanced R book, but they ask some simple introductory questions.
I am completely confused with this course :(
by Feng J•
Jun 19, 2017
The problem set is well-designed but the prompt and the wording could be misleading for non-native speakers.
by John E•
Dec 11, 2017
If I didn't already have experience in R, and with tidyR in particular, I'm not sure this course would have been that helpful. As it was, it was a good review.
by Saif A K•
Apr 15, 2018
good course ,, but alot of readings :(
by virginia b•
Oct 02, 2018
Wrong tutorial on swirl that obliges you to follow the course twice to get the code for the quix and to take the points to go on
by Prakhar P•
May 14, 2019
This is a refresher course for someone who already knows R. For anyone starting to learn R and Data Science, Data Science Specialization is a good curriculum to start with.
by KEVIN A F•
Jul 08, 2019
The course difficulty abruptly increased in the last week.Especially with the last quiz. A swirl exercise before the quiz would have been helpful.
Jul 11, 2018
The free book R for Data Science by Garrett Grolemund andHadley Wickham is a much better structured introduction! see http://r4ds.had.co.nz/