学生对 Google 提供的 Data Analysis with R Programming 的评价和反馈
课程概述
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AS
Jul 29, 2023
I had much better experience learning through this course. The reading and hands on material would bore and exhaust me because sometimes it was just too much. Other than that it's a great course.
LK
Dec 23, 2021
The course guided the concepts of R in a smooth manner teaching from basics to higher-level code. I really enjoyed each step and the project practices at each step helped strengthen the concepts.
51 - Data Analysis with R Programming 的 75 个评论(共 2,376 个)
创建者 Jie B
•May 12, 2024
Great course and perfect pace for beginning, explain things in a detailed way - if you already have some knowledge about R, the pace of this course might be a bit slow.
创建者 Ssemugabi D .
•Apr 7, 2024
This has been the best training for me. It literary takes you from scratch covering every step to a working level!...
创建者 Grace O
•Aug 3, 2023
This course was a detailed introduction to R programming basics. I need to learn and practice more on my own.
创建者 Filipe F
•Apr 7, 2024
Very useful program. The instructions were clear. The instructor was good and charismatic too.
创建者 Salvador H
•Nov 16, 2022
Excellent course I personally didn't think I could learn R programming but, I did.
创建者 Minh T H V
•Mar 24, 2025
Such a nice and detailed course for R beginners. 100% recommended by me
创建者 Syahir S
•Nov 20, 2022
Very good instructor and material for understanding course
创建者 Oscar D G R
•Apr 15, 2021
One of the best R courses I have taken.
创建者 Naushad A
•Nov 14, 2022
I love to learn from this course
创建者 PARMAR M S
•Nov 15, 2022
Great Learning Experience
创建者 Xiaoxiao L
•Nov 15, 2022
I just love it!!!
创建者 Afdhal I Y
•Nov 15, 2022
Very good.
创建者 Jazib I
•Nov 13, 2022
good
创建者 Govardhan R
•Nov 13, 2022
good
创建者 Dylan H
•Mar 13, 2025
This was really tough - I had to consistently use AI across my feedback to support why my answers weren't correct. Also, while small, I noticed that one of my code chunks would not work. I had to use r studio, copy it from there and then paste it - and it worked. Very strange, but occurred a couple times. But, I do want to say that this was a very new subject for me, and I'm only familiar with PowerQuery in the realm of understanding how formulas/code works and reads. So it was probably a bit of patience that I was lacking - otherwise, this has been a great learning curve and experience. Thanks google.
创建者 Andreas B
•Oct 2, 2023
I didn't find the discussion parts helpful at all. The questions were not interesting or inspiring and it seems noone has taken them seriously anyway (people either answered with blanks only, or with text that was clearly written by ChatGPT). Additionally there were too many topics that were introduced and explained multiple times (instead of using the time to go more into depth). Still: the course is a decent introduction into R. I like the cloud environment, the tests were okay and the exercises too.
创建者 Phuthi S
•Feb 26, 2025
I really enjoyed the course and I don't have any background about data analysis, but this helped me a lot especially because I struggled with excel but now I excel on it. The only negative thing that I noticed is that it is too congested which leads to forgetting other material or focusing on the other material and neglecting other ones. Maybe if you try to remove some content that are not that necessary that will be perfect.
创建者 Mario A A O
•Mar 25, 2025
The course its a good review of useful R packages (tidyverse, ggplot,etc), but its too superficial. Although it has a lot of extra info and resources so you can improve on your own. It lacks a final practical project that challenges the knowledge acquired. I expected a certificate by the end of the course, but it seems you have to end the other 7 to have it.
创建者 Mercy C
•Aug 1, 2023
The instructor explained R programming concepts clearly and was very convincing. The presentation of the material had a natural flow. However, although this was a beginner course, I would have expected more detail on data cleaning, for example, what to do with missing values beyond excluding them in any analysis or visualization.
创建者 Ciprian S
•Aug 3, 2021
It's a great course for beginners. However, the quizzes are to easy to solve. But for a general overview of what you can do with R and acquire basic R programming skills this is a great cours to complete.
创建者 Prachi V
•Nov 16, 2022
its very good course for learning the R programming language with data analysis
创建者 Mary T
•Sep 30, 2023
It really a good course, but I think it is more practice.
创建者 Suhas S
•Nov 15, 2022
Its very good for learning R for Data Science
创建者 Nathan W
•Aug 19, 2021
I was rather torn on whether to rate this course as 3/5 or 4/5. Large portions of it were quite informative and helpful. At the same time, some very important aspects of R were either glossed over or not well-explained (pipes, I'm looking at you), and later portions of the course felt as if someone had taken the correct order of lessons and randomly jumbled them. Earlier lessons would ask questions that I didn't know the answer to, and then I would find the answer two or three lessons later, in the exact format that had been asked.
Additionally, this course could have benefitted from significantly more hands-on, follow-the-presenter material, as well as clear indications of when we would need to have a file (for example) saved from an earlier lesson in order to use in a later lesson. This happened several times, and I was usually left in the cold without anything to use to follow along. The presenter also sometimes skipped steps in her explanation, leaving me uncertain how to replicate the results she got.
So, I learned a fair bit about how to get started in R, but the course certainly could have been better put-together. 3/5 stars.
创建者 Jaume A
•Jul 12, 2021
Interesting course but when introducing a new language (R) with new suite to work with (RStudio), I would like more detailed samples (real examples, not just an oral explanation.. in a simlar way R markdown helps you being in contact with the code through code chunk),
I would start explaining all diffrerent areas in Rstudio, what's different in the upper left and bottom left panels?
I also realize about an example, after explaining best practices to nest instructions writing them in the next line, but sample code was using nested code in the same row (can be really misleading when you are being introduced to that best practices...)