学生对 Google 提供的 Process Data from Dirty to Clean 的评价和反馈
课程概述
热门审阅
RH
Oct 27, 2023
Fun, concise, and on point course walking new folks through (or a great review for not so new folks) the process of identification, basic change management, and reporting for dataset validation
AM
Jul 7, 2025
Great way of teaching, her lectures were outstaning and engaging, understood each and every concepts very clearly. Thank you Google and Coursera team for making us to interact with such personality...
3151 - Process Data from Dirty to Clean 的 3175 个评论(共 3,224 个)
创建者 wHaider
•Nov 21, 2023
it is quite difficult course for me
创建者 srikanth
•Feb 24, 2025
Tutor Videos doesn't feel engaging
创建者 Augusto W
•Nov 20, 2023
only sql function are useful
创建者 Luis T
•Nov 17, 2023
Menos teoría y más práctica.
创建者 Deogratius M
•Feb 13, 2025
Well elaborated in detail.
创建者 Carlos O
•Jul 21, 2022
overwheling to new analsis
创建者 Om P
•Feb 21, 2024
pls improve SQL TUTORIALS
创建者 he-wen c
•Feb 10, 2022
The progress is too slow.
创建者 Takahide M
•Jul 8, 2021
I was very hard for SQL.
创建者 Hans
•Jul 4, 2021
not per expectation
创建者 marwa S
•Jan 23, 2022
need more time
创建者 Tinovimba M
•Sep 12, 2024
very good
创建者 Abin J
•Jun 9, 2024
excellent
创建者 Md Arif
•Dec 3, 2022
Just good
创建者 Priya
•Sep 5, 2024
good
创建者 Aniruddha V
•Aug 17, 2024
good
创建者 Achal G
•Sep 28, 2023
good
创建者 jyoti p
•Oct 25, 2021
good
创建者 Xushnidbek I
•Apr 3, 2024
..
创建者 Juney C J Y
•Jun 17, 2021
创建者 Glaucia C M M
•Sep 20, 2023
Unfortunately, I have to say that this has been the worst course on Coursera I have taken so far. First of all, you are often confused and lost during the lessons (because the step-by-step are not well explained when tackling new functions/tools). Second, it took more than a week for someone from staff come and answer one of my comments on the forum (and in the meanwhile some other student wrote that they were facing the same issues and no one would answer them)! Finally, during the videos it keeps poping-up messages about what the person in the video forgot to say, or that there was a mistake in the code line they wrote in the video, or that a peace of information was missing (it's really low level). I mean, this is one of the most famous courses on Data Analysis and it should be much better. I give two stars: one for the person instructing (because she is funny), and another for the tasks that help understanding the content.
创建者 Ayman M
•Jun 13, 2025
Instructor is talent, but materials was NOT sufficient and took more time to search around. Course only focused on using one tool for SQL "Big Query" which half of functions could not be performed onto it due to free version available for education is only limited to "reviewing" functions NOT editing. I think we should have include other tools also as MySQL or PG. By the end of the course there was whole section about developing your resume which is way too early because they even mentioned "don't do this recommendations before to finish the course" then why the heck they show it in the middle of the course schedule? Also the course needed to include more practice on Github & Kaggle more than just reading links. Overall I did not relay on this course for cleaning data as much as outside sources. Please improve.
创建者 Michael M
•Jan 14, 2023
Like all other courses in this certificate so far (this is the 4th, I'm super disappointed that the course material is still focusing on common sense/common knowledge instead of actual practical skills in data analytics. Direct teaching statement from the course "If you need the data for female voters and received the data for male voters, restate your needs" -- seriously? Students don't need a word by word approach to how to generally function in a work setting. The content of the course is wasting time that students could be using on actually learning data analytics skills, from other providers.
创建者 Elaine M
•Oct 13, 2025
Some good SQL function reminders, spreadsheet functions, still very talky and repetitive from video to video. A couple of missing instructions wasted time but Coursera AI filled in the blanks. There should be a place on the course to give this review or a correction instead of searching a profile for this page. It would be a good aside to create our own desktop databases for subset datasets so we can alter the databases like we're not allowed to on a sandbox Bigquery account, though Bigquery might be better for querying the huge databases we don't want to store on our own computer.
创建者 Giovanni M C
•Oct 2, 2021
I loved the SQL part however, About Big Query watch out guys I had an issue with my billing and honestlly I think that considering we are here learining making you add a credit card to write data into google big querry is a shame, they should let us know that the tool only allows read and not write therefore not all excercises are available for students.