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 Zhao W•
Aug 31, 2017
Learned a lot through both lecture notes and swirl package.
by Jing L•
Jun 20, 2017
Useful, but it is all text so the course is not very fun
Nov 06, 2016
this course is a introductory level on the R usage!
by Alkia M•
Mar 11, 2017
Really enjoyed the way the course was presented.
by Kevin K•
May 09, 2018
Learn basics and some good data science tools.
by David R M H•
Jun 19, 2020
Great course to start learning tidyverse
by Johans A A•
Feb 01, 2018
Exccellent Course! I really enjoyed it!
by Moriya K•
Jul 12, 2020
just swirl causes tables sometimes
by Jorge L R Z•
Apr 07, 2018
A really good introduction to R.
by Harsha S•
Aug 16, 2017
Covers the basics well.
by Mayer A•
Mar 31, 2018
very good start
by Laura O•
Feb 27, 2019
The contents of the Course are great and you can learn a lot of stuff regarding the R Programming Environment. Unfortunately, there has been errors in the evaluations that have been pointed out in the forum for more than two years now and the Instructors haven´t attended them. They claim that that´s the system of Johns Hopkins University, to make evaluations hard, however, when you refer in a test to the name of a variable that doesn’t exist is not making a test hard, is losing the time of your students and therefore adding unnecessary obstacles to their learning process. Also when comparing the material printed in Coursera and the book that the instructors suggested for the Course, there are basic errors like printing the wrong Graph. If you are really interested in advanced programming in R, take the course, however, BE AWARE THAT THERE ARE FLAWS AND READ THE FORUMS BEFORE ANSWERING THE EVALUATION, IF NOT YOU ARE GOING TO WASTE A LOT OF TIME IN USELESS ISSUES!!!!!!
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 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 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 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 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 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 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.
by 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.
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 Valentina C C•
Apr 28, 2020
Aunque el curso está bien explicado y maneja buenos contenidos, hay varios problemas al subir las tareas por el programa que se maneja, los cuales son muy molestos y hacen perder mucho tiempo
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 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 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.