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: Jorge L R Z•
Apr 07, 2018
A really good introduction to R.
교육 기관: Satyajit S•
Jul 23, 2017
Can be vastly improved by making it more student friendly and giving more tougher practice exercises to tackle to assignments
교육 기관: Scott W•
Apr 10, 2017
This was a quick an relevant intro to the getting data and conducting basic manipulations
교육 기관: weitinglin•
Nov 06, 2016
this course is a introductory level on the R usage!
교육 기관: Jonatan H•
Apr 29, 2017
Good content, a lot of work loaded in the quiz of the last week, beware of this.
교육 기관: Rebecca G•
Jul 23, 2017
This course was just ok. Much of the information is a screen scrape from a book and peer-evaluation, so you may be better off just getting the book and going through it. The mentors occasionally participated, the authors rarely so,.
교육 기관: Jhosse P M R•
Feb 04, 2017
Excelent course to start with the basics of R language. It gives a modern introduction to R programming avoiding traditional topics like loops and conditionals keeping them for more advanced programming topics. It also covers almost all tidyverse packages with a shallow introduction to the most common packages.
I have acomplaint. The dataset for the final quiz was outdated, I managed to pass the quiz guessing variable names.
교육 기관: wally•
Jan 26, 2017
All in all good stuff. A couple of comments:
Swirl grading should be a little more flexible; sure cut is more succinct that nested ifelse's, but there's more than one way to skin the data-analytic cat in R, as I'm sure y'all are aware.
Also, I recommend more emphasis on data tables. I use them exclusively due to the dramatic performance improvement over data frames. And in my brief experiments, dplyr and tidyr commands worked on them too.
This first course was review for me. Nonetheless I definitely learned a few practical things that will up my data science game (which can always use upping).
교육 기관: Brynjólfur G J•
Oct 15, 2017
Some good functional R training but really missed the videos like in the Data Science specialization
교육 기관: Zhao W•
Aug 31, 2017
Learned a lot through both lecture notes and swirl package.
교육 기관: Mayer A•
Mar 31, 2018
very good start
교육 기관: Mohanned A•
Nov 06, 2016
very well, structure, the quiz was admirably hard, but satisfying to work through and solve. you made me think outside the box, excellent
교육 기관: Matthew D•
Aug 21, 2017
The course is great, and very challenging. It is a little frustrating that the course requires 1 out of 2 programming assignments to be completed, but shows you as past due despite reaching that goal...
Getting this corrected and verified by Coursera has also been difficult.
교육 기관: Noor S•
Jun 07, 2018
Good to learn the possibilities in the R environment. In the end you learn most by applying it to your own projects (with a lot of help in available documentation or via internet sea).
교육 기관: Alkia M•
Mar 11, 2017
Really enjoyed the way the course was presented.
교육 기관: Nathan F•
Jan 20, 2018
Good course, but there were some technical hang-ups with the "swirl" package which made it difficult to submit assignments and get credit for completing them, even once you've solved the coding questions. This was very frustrating.
교육 기관: Dmitry S•
Oct 01, 2016
+: I reached my goal for the course and now I understand a bit about R. I succeeded to pass within much shorter time than anticipated course duration. The course certificate is posted to my Linkedin profile.
-: No human mentors on the course discussion forum - all questions answered by other students. Automatic tests in swirl are too restrictive and do not accept perfectly correct student solutions slightly different to those anticipated by the authors. Week 2 assignment is much different from the reading material. Nothing taught about charting in R.
Overall comment: I think it is good value for money.
교육 기관: Nicole V•
Feb 26, 2018
I really liked the format of the Quiz for Week 4 - there is a dataset given and questions requiring you to do your own data manipulation/calculation to come to an answer (as opposed to the other weeks requiring swirl lessons, which weren't as fun/challenging). I would've liked to see more of the Week 4 type quizzes earlier. Overall, though, this is a good foundation course.
교육 기관: David B•
Jan 01, 2018
I found that the course was a helpful introduction to the R programming environment.
교육 기관: Jing L•
Jun 20, 2017
Useful, but it is all text so the course is not very fun
교육 기관: Jenny T•
Jul 13, 2017
I think that the explanation of the material should be adopted to people that are not programmers
교육 기관: Almira Y•
Mar 29, 2018
English is not my native language so i had troubles with tasks, because it is sometimes
hard to understand what you have to do. My advice - rewrite final quiz and make it more easy for understanding.
교육 기관: Kevin K•
May 09, 2018
Learn basics and some good data science tools.
교육 기관: Gregory H•
Dec 18, 2017
Very good overall. I feel that the first weeks are too easy relative to the last week - more involved practice and exercises would have been good before getting to the final quiz.
교육 기관: Morgan T•
Jun 15, 2018
I wish there had been more exercises like the final Week 4 quiz along the way -- Swirl was useful as an interactive supplement to the readings, but those last 10 questions were the only time where I really felt challenged to use learnings to solve problems more independently and originally.