Learner Reviews & Feedback for Ask Questions to Make Data-Driven Decisions by Google
About the Course
Top reviews
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 - 5450 of 5,496 Reviews for Ask Questions to Make Data-Driven Decisions
By Suwapat A
•May 13, 2021
Too much wasting time on basically knowledge.
By Matt W
•Apr 4, 2023
It's common sense. Not really learning much.
By Mitchell G
•Sep 27, 2022
These courses are boring and repetitive!
By Isabella M
•Mar 25, 2022
Somewhat helpful, but aimed at beginners.
By Anna B
•Jun 19, 2021
I felt this course was rather off topic.
By Deleted A
•Jan 5, 2024
less quantitative than the first course.
By sergio m b
•Nov 29, 2024
no me gusto mucho el contenido, flojito
By Mek T
•May 13, 2022
just a bunch of elementary non sense
By Kimberly T
•Jan 10, 2022
Her should be more professional
By Dayanara G
•Jun 2, 2021
Instructor was so distracting.
By Sheila J
•Sep 21, 2023
Not detailed enough
By Grant S
•Jul 6, 2023
Long and drawn out.
By ahmed S
•Jun 25, 2025
دوره ممتازه للغايه
By Michelle F
•Oct 24, 2023
very basic
By Mottaz E
•Apr 29, 2023
Repetitive
By Marshall
•Sep 13, 2023
basic
By Johnson O O
•Oct 27, 2023
dope
By DARA S
•Feb 24, 2023
good
By HARSHITHA C
•Jun 19, 2022
good
By SHIVANSHI P
•Jun 7, 2024
yes
By Deleted A
•Dec 19, 2024
9i
By Rosaura H
•Jul 22, 2022
?
By 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, Rayhack926@gmail.com. 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
By 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.
By 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!)