学生对 Google 提供的 Data Analysis with R Programming 的评价和反馈
课程概述
热门审阅
A
Nov 26, 2021
Great introduction to what you can achieve using R. The course material is logical and well though out and the provided links to additional resources are useful to supplement your learning further.
TD
Jun 16, 2021
Tough stuff! Trying to remember the correct syntax for filtering was stressful but I'm so grateful to learn R. Thank you for this introduction. The videos were good but the hands-on really helped me.
2326 - Data Analysis with R Programming 的 2350 个评论(共 2,377 个)
创建者 mike 9
•Dec 22, 2021
The course was rather average in my judgement. It was to foucsed on defentions and not enough on the data syntax.
Also the course did not to a good job on layering the learning on top of which was learned in the past videos. P.S please a little less P.C culture.
创建者 Josh D
•Jan 2, 2023
I was not a fan of this instruction on this course topic compared to the other topics. I found it very difficult to follow along and could have used more hands on instruction on the basics instead of jumping around to other topics.
创建者 Roman I
•Jan 7, 2023
Wery small amount of tasks. The task which are given are very simple like copy code from here and paste here. Some important analytics concepts like standard deviation or mean are not explained properly
创建者 Austin D
•Jan 19, 2022
This course needs work. There's missing files, the video often moves too fast, functions and syntax in lines of code without explanation as to what their significance is or when they should be used
创建者 Camberly H
•Jul 28, 2022
I feel the excercises are too easy for you to really get the knowledge to stick. I would prefer ot have coding assigments more similar to the questions from they have for the course wrap up.
创建者 Jared T
•Jun 15, 2024
I think this should be optional. If I wanted to learn a programming language, I would have sought it out separately. Sometimes the pace was too fast with not enough context.
创建者 KHM444
•Jul 30, 2022
It was a very hard and complicated course with lots of errors but by God's grace, I made it. I need to exercise and learn more about R Programming.
Thank you
创建者 Tuyền T
•May 21, 2024
Why have I been approved for financial aid from Coursera, but now I need to upgrade and submit for the model challenge? Please explain this issue.
创建者 Marcelo O
•Nov 5, 2024
La traducción es deficiente, las respuestas de funciones u otras se tradujeron y quedaron mal hechas y lleva a confusión para dar respuestas,.
创建者 Alex T
•Feb 13, 2022
Hits the ground running with R. Running very fast. Almost seemed to be skipping important steps, and/or not spending enough time on mechanics
创建者 Saif U C
•Mar 31, 2024
R programming is one of the most complicated platform in data analytics ever. Sharp mind and focus is required for practicing tools in it.
创建者 Parag K S
•Feb 7, 2025
I didn't get my certificate after completing this course.. nd I don't know why..? Coursera didn't tell anything about it
创建者 Shruti S
•Mar 17, 2025
The trainings seem to be outdated and there is no place to get help when you need it while completing the activities.
创建者 Amanda L M
•Jul 12, 2024
Overall, the content wasn't new to me so I didn't complete most exercises or watch videos. It was disappointing.
创建者 Vera Y
•Apr 9, 2022
inbeded r code doesn;t work in quiz, need to go download data and import to r to work out.
创建者 B S
•Nov 25, 2022
I would suggest give some more examples with hands-on and details.
创建者 Mauro L
•Nov 16, 2021
Too basic compared to other courses on R available on Coursera
创建者 ARYAN G
•Jul 24, 2024
I am not getting the certificate, like the other courses
创建者 Michael H
•Aug 25, 2023
Couldn't complete some tests due to technical issues.
创建者 Mohammad S
•Nov 18, 2022
I find Python and Pandas to be more useful
创建者 Faria Z
•Feb 11, 2024
Very confusing and boring
创建者 O'Michael O
•Apr 7, 2024
not quite understandable
创建者 Eli O
•Dec 30, 2021
It was hard
创建者 Teymour D
•Oct 12, 2021
SIMPLE
创建者 Steven H
•Jul 28, 2025
That really wasn't relevant, I know why Google wants to push R because it's their own baby but for data analyst it's a very old and archaic system. For one most job applications I look for mention SQ and some on occasion will mention Tableau It is super rare that I've ever seen an R requirement. This is really backwards compared to things like Tableau and trying to learn a whole different way to write code when we could have been spending time learning SQL in more depth or even Tableau which makes things super easy and drag and drop. This should have really been optional and not required