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.
创建者 Nick B•
Nov 01, 2017
There HAS to be mentors/instructors around to assist with syntax questions during this process.
创建者 João G C•
Dec 10, 2019
The classes are not super clear, and there really isn't much support for learners facing bugs.
创建者 George E C•
Apr 26, 2020
Good course, but in serious need of updating and proofreading.
创建者 Saif A K•
Apr 15, 2018
good course ,, but alot of readings :(
创建者 Jan K•
Nov 08, 2017
A little too easy for the certificate.
创建者 Luca B•
May 12, 2020
It was n't so easy
创建者 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.
创建者 Jessica G•
May 07, 2018
This was a nice introduction to R for someone who has had previous programming experience. However, many of the lessons had simple grammatical errors in them, which is just unprofessional. Many of the swirl lessons were just the online material repeated, so reading the lessons then doing the swirl lesson was massive repetition. Also, many of the swirl "lessons" were merely "Type this in and see what happens!" which doesn't really teach anything. Finally, the final quiz material had spaces in the column headings which was fixable but added a level of monotony and inconvenience that was not needed.
创建者 Teresa O•
Jun 10, 2017
This was a terrible course. It starts off extremely basic in Week 1 which makes you feel like a rock star. Week 2 becomes extremely difficult then Week 3 easy again. Week 4 ends up being nearly impossible. I find that there is foundational material that the course does not cover. Nor does it provide guidance or familiarity with the material that it then tests you on. You end up having to do a lot of googling for functions to learn certain rules. It isn't designed well.
创建者 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.
创建者 Matthew C•
Oct 01, 2018
Swirl is a great idea, but each section is submitted independently of the others. You have to complete all sections in one sitting if you plan to submit electronically. I had to redo 8 of the 9 sections in week 1 for this reason.
Content-wise, the quiz in week four is significantly more difficult than the other assignments and I felt a little underprepared.
创建者 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.
创建者 Trenton H•
Apr 04, 2017
There's not much substance. Also, considering there is not video the course seems very non-interactive. Its nice to see the instructors speak and work through examples. Hoping this course was just a quick primer for the R newbies.
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/
创建者 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..
创建者 Alexander D H•
May 15, 2018
Felt lost during the final, the course was not well suited to the end quiz
创建者 Arthur G•
Jun 14, 2017
创建者 Sophie G H•
May 08, 2020
As so often statet in the Forums: There are technical issues that hinder you in completing this course, which is a prerequisit for finishing the whole specialisation. If you are lucky the solutions from other participants (but not the instructors) work. If not you just wasted your money on a course that basically just reads the book "Mastering Software Development in R" by the instructors to you. By the way it is available online...
创建者 George Z•
Apr 02, 2020
The content is great. Unfortunately the grading system is not functioning which means that one can't continue to the next step. I will be dropping out for this reason. I hope they fix it but it doesn't work now. Technical support was pleasant but not helpful. Based on the discussion forum, numerous other students felt the same way. If they fix it, I will sign up again, but right now I have to caution against it.
创建者 Lakin R•
Mar 13, 2020
The material of this course is useful. However, the swirl course that accompanies it is plagued with issues that date back YEARS (there are posts on GitHub and the course's discussion board from 3+ years ago with the same unresolved or barely patched issues. If I hadn't already been reimbursed for this course by my employer, I would've given up on day one.
创建者 Robert L•
Dec 02, 2019
I had to drop out because of technical issues. A week 2 issue that is documented in the bulletin board had no clear resolution. After several months of trying to figure out the issue for weeks, I determined that the course wasn't worth extra time and money being spent.
创建者 Christopher M P•
Feb 11, 2020
Final assignment may not be reviewed for weeks. If you go on to capstone, issue could extent into months. Expect to use many external resources.