学生对 Google 提供的 Ask Questions to Make Data-Driven Decisions 的评价和反馈
课程概述
热门审阅
MW
Mar 31, 2021
I just finished the 2nd Course in the Google Data Analyst course - even though I have experience in the field, this course reminded of areas that I should focus on and work to strengthen my skills in.
BM
Aug 29, 2021
It was a good course, I didnt know anything related to data analysis, and since I started these courses I've been able build up my skills, mind you I've haven't put it into practice in reality yet.
5426 - Ask Questions to Make Data-Driven Decisions 的 5450 个评论(共 5,495 个)
创建者 Mitchell G
•Sep 27, 2022
These courses are boring and repetitive!
创建者 Isabella M
•Mar 25, 2022
Somewhat helpful, but aimed at beginners.
创建者 Anna B
•Jun 19, 2021
I felt this course was rather off topic.
创建者 Deleted A
•Jan 5, 2024
less quantitative than the first course.
创建者 sergio m b
•Nov 29, 2024
no me gusto mucho el contenido, flojito
创建者 Mek T
•May 12, 2022
just a bunch of elementary non sense
创建者 Kimberly T
•Jan 10, 2022
Her should be more professional
创建者 Dayanara G
•Jun 2, 2021
Instructor was so distracting.
创建者 Sheila J
•Sep 21, 2023
Not detailed enough
创建者 Grant S
•Jul 6, 2023
Long and drawn out.
创建者 ahmed S
•Jun 25, 2025
دوره ممتازه للغايه
创建者 Michelle F
•Oct 24, 2023
very basic
创建者 Mottaz E
•Apr 29, 2023
Repetitive
创建者 Marshall
•Sep 13, 2023
basic
创建者 Johnson O O
•Oct 27, 2023
dope
创建者 DARA S
•Feb 24, 2023
good
创建者 HARSHITHA C
•Jun 19, 2022
good
创建者 SHIVANSHI P
•Jun 7, 2024
yes
创建者 Deleted A
•Dec 19, 2024
9i
创建者 Rosaura H
•Jul 22, 2022
?
创建者 Raymond H
•Oct 9, 2022
great course setup. I identified with the premise of non bias observation. I personally had pronoun identifiers causing confusion. I did 3 years of english under Mrs. Atnip. West Mecklenburg High School. 1987 Era. quantifiable data. The inclusiveness descripitors are confusing to Me. I surmise The carriculum may ostracise indivudualism. Most of the descriptive identifying pronouns for the student have been removed? very confusing to try to retrain that mental linkage. Your course wants individualism under the guise of an umbrella of inclusiveness.Those are opposing views. I can peform the mental acuity definners. I am concerned that I will be wasting my my efforts, because I may choose to self indentify as ME. I would like a response. I, ME, Myself And I, would like to be able to differentiate the descriptors required, as required for course completion, [email protected]. I think this is a setup for failure. I will move forward, until I recieve an answer to confirm or deny my suspicions. For now .25 stars. not 1 or 5. If you want real data, you have to be willing to accept more than 1or 5, and I can only give you 5 answers, which will skew the data in your favor. all less than 1 is = to !1? not fair data collection....bias already included
创建者 Nicolás
•Jan 7, 2026
La parte técnica muy bien, aprender fórmulas, funciones, como funcionan los datos por dentro, corregir errores, todo super. La parte más teórica ficticia de como funcionan las empresas o como comunicarse los compañeros... No me parece para nada ajustado a la realidad. La realidad cuando trabajas en una empresa sea como analista de Datos Jr (que es a lo que está enfocado este curso entero) es que seguramente nunca hagas un SOW, nunca estés liderando un equipo y ni siquiera te comuniques con alguien superior a ti mas allá de tu project manager o el Data Analyst leader. Me parece muy bien que se enseñen estas soft skills, pero creo que se idealiza demasiado como funcionan las empresas en realidad. Conclusión: Yo dejaría esta parte o para el final del curso o moverla hacia otra parte, porque seamos sinceros, queremos trabajar, queremos aprender como funcionan los datos y queremos moverlos de un lado a otro y obtener insights claros.
创建者 Derek M
•Feb 7, 2026
This is the worst course I've ever taken in my entire life. The AI graded role play questions are ridiculous. You will never get paragraph questions and be asked to do a word counted response using lame acronyms as a data analyst ever. This course has made me want to quit this certification entirely. It's extremely redundant and whoever thought it was a good idea to give math style word problems and be asked to respond with an AI rubric needs to consider a different career path because education is NOT for you. I am extremely furious how much time is dedicated to uselessness I can't think of the last time I was so mad at a company for being so wildly out of touch with reality. Congratulations, youre making someone very interested in data want to quit because of your loathsome tactics. I hope this message does not find whoever is reading it well. Bad day to you
创建者 Elaine M
•Oct 10, 2025
I appreciated the spreadsheet work as I didn't know about automation. I found the convert days to weeks (of the Lettuce data) challenging...and fun to play with. Still too talky. I'm playing the videos on 2x the speed and reading alongside. The key features could be placed in a few very clean slides, and, done. Still, I'm learning the business aspect of joining meetings and speaking with people, perhaps in interviews. If you think of these items like business as you describe here, it makes dealing with people more constructive and goal oriented and less of an unknowable void. That is interesting. Everything, it seems, is business. We could all benefit from this type of communication in more things. (<- this!)
创建者 David L
•Dec 16, 2023
To be quite honest, I was a bit confused during most of the course. We dedicated a very small part to the Ask Questions part of the course and I found that the quality of some of the tutorials as well as the structure of the course lacked of relevance. I had to go back an forth through my notes to make sense of some of the sections. From my point of view, this was all scattered and made it harder to follow through. I was actually in a rush to finish it, I enjoyed the Previous one in the Google Data Analytics Certificate a lot more and I am sure I will enjoy the rest, but this one had outdated information, non relevant parts and I think it can do with a little upgrading and re-structuring.