ジョンズ・ホプキンズ大学（Johns Hopkins University） による The R Programming Environment の受講者のレビューおよびフィードバック
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人気のレビュー
MV
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.
KV
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.
The R Programming Environment： 126 - 150 / 264 レビュー
by Carlos A A F
•Sep 27, 2017
It was an excellent course.!
by Kasidis S
•Jun 03, 2019
Good introduction, love it!
by Dennis M S
•Oct 17, 2016
Superb advanced R course.
by savinay s
•May 29, 2018
Good basic course for R
by Mikhail K
•Jan 26, 2018
I like the way it goes!
by Alicia B
•Oct 15, 2017
Great intro to TidyR!
by Xueqi Q
•Jul 03, 2020
I like the swirl !
by Gustavo D
•Mar 09, 2018
Excelente curso!!!
by Isaiah M
•Aug 22, 2018
Very challenging!
by Yan L
•Dec 15, 2016
简单易学，很适合初学者和基础学习。
by Edisson Q L
•Nov 10, 2018
Excelent course!
by GERALDO A
•Nov 07, 2017
Excellent course
by Tamás B
•Nov 26, 2016
Perfect Course!
by Yifei L
•Oct 14, 2018
Great class!!
by JEEWESH K J
•Oct 27, 2017
Great Course
by Le D A
•Mar 19, 2020
Very useful
by Arthur C
•Feb 10, 2018
Nice course
by Francisco A M
•Feb 22, 2018
Excelente!
by Rodrigo G G
•Mar 06, 2017
Fantastic!
by Marcelo B
•Aug 04, 2017
Very Good
by Rebecca A D
•Sep 24, 2017
good one
by Ganapathi N K
•May 13, 2018
Nice
by Benjamin S
•May 14, 2019
T
by 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.
by 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).
