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.
교육 기관: Feng J•
Jun 19, 2017
The problem set is well-designed but the prompt and the wording could be misleading for non-native speakers.
교육 기관: 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.
교육 기관: 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.
교육 기관: 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.
교육 기관: 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.
교육 기관: Jan K•
Nov 08, 2017
A little too easy for the certificate.
교육 기관: 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
교육 기관: 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
교육 기관: 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.
교육 기관: 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.
교육 기관: Nate W•
Sep 26, 2019
low production value at times, frustrating errors in the course data and instructions, but got me there in the end
교육 기관: Tim L•
Sep 05, 2019
There are a lot of typos, spelling errors, and oftentimes you need to do your fair share of StackExchange, forum, or book research to get an answer. I learned a lot, I just wish it was better organized. You'll learn more experimenting yourself than you will from the class.
교육 기관: Craig N•
Oct 11, 2019
While I learned much from this course, I would say that the readings contained enough type-o's and broken links that it became slightly annoying. Also, the final Quiz was much more difficult than the readings/practice that came before it.
교육 기관: João G C•
Dec 10, 2019
The classes are not super clear, and there really isn't much support for learners facing bugs.
교육 기관: Saif A K•
Apr 15, 2018
good course ,, but alot of readings :(
교육 기관: 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.
교육 기관: 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
교육 기관: 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.
교육 기관: Alexander D H•
May 15, 2018
Felt lost during the final, the course was not well suited to the end quiz
교육 기관: Zdenek K•
Nov 15, 2016
The first course of the specialization is very simple. The specialization was announced to be on an intermediate level but at the same time, you need to spend money on a very basic course with swirl assignments pretty much copying the course content. The good thing is that it includes very modern approaches to data analysis and new packages. The second course is much better, nevertheless.
교육 기관: Paul H•
Oct 28, 2017
I found the final project very very difficult as weeks 1 to 3 did not cover sufficient practice of the libraries which were to be used. That having been said, the project was achievable when you spent 20 hours on it. I posted several questions to the forum and received no answers.
교육 기관: savvas s•
Aug 28, 2017
just links to a webpage... no support from the mentors no support form coursera... you can use your money more wisely..
교육 기관: Arthur G•
Jun 14, 2017
교육 기관: Kayley A•
Mar 22, 2018
This course has some useful information, but it is far from polished, and it is unclear who the class is truly designed for. The readings have a number of formatting issue and typos. I was disappointed that this class did not utilize lecture videos or practice exercises. There is not enough opportunity to reinforce the material through practice, which turns the assessments into abrupt roadblocks. If I wanted to spend most of my time just reading about R, I could have bought a book instead. Compared to other courses I have taken on Coursera, this class had fewer features, less content, and seemed much less thought out.
교육 기관: BenT•
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/