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Learner Reviews & Feedback for Ask Questions to Make Data-Driven Decisions by Google

4.7
stars
30,727 ratings

About the Course

This is the second course in the Google Data Analytics Certificate. You’ll build on your understanding of the topics that were introduced in the first course of this certificate program. The material will help you learn how to ask effective questions, make data-driven decisions, and meet stakeholders’ needs. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analytics tasks. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, you will: - Learn about effective questioning techniques that can help guide analysis. - Gain an understanding of data-driven decision-making and how data analysts present findings. - Explore a variety of real-world business scenarios as an example of questioning and decision-making. - Discover how and why spreadsheets are an important tool for data analysts. - Examine the key ideas associated with structured thinking and how they can help analysts better understand problems and develop solutions. - Learn strategies for managing the expectations of stakeholders while establishing clear communication with a data analytics team to achieve business objectives....

Top reviews

AS

Aug 20, 2021

i love the course as it helped me understand the importance of asking the right questions, understanding the problem and expectations of stakeholders and impotance and the right way of communicatilon.

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.

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4726 - 4750 of 4,804 Reviews for Ask Questions to Make Data-Driven Decisions

By Archiri V

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Jul 14, 2023

The instructor didn't do a very good job of articulating.

By Alisa J

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Mar 21, 2023

A lot of theory, that's too logic and not interesting.

By Karthik A

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Jun 1, 2021

I felt that spreadsheets was wrapped up very quick

By Kim M

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May 15, 2022

Nothing to learn from this course, tricky quizs

By Henry C

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Oct 15, 2021

was not interested in almost all subject matter

By Suwapat A

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May 13, 2021

Too much wasting time on basically knowledge.

By Matt W

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Apr 4, 2023

It's common sense. Not really learning much.

By Mitchell G

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Sep 27, 2022

These courses are boring and repetitive!

By Isabella M

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Mar 25, 2022

Somewhat helpful, but aimed at beginners.

By Anna B

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Jun 19, 2021

I felt this course was rather off topic.

By Nandika D

•

Jan 5, 2024

less quantitative than the first course.

By Mek T

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May 13, 2022

just a bunch of elementary non sense

By Kimberly T

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Jan 10, 2022

Her should be more professional

By Dayanara G

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Jun 2, 2021

Instructor was so distracting.

By Sheila J

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Sep 21, 2023

Not detailed enough

By Grant S

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Jul 6, 2023

Long and drawn out.

By Michelle F

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Oct 24, 2023

very basic

By Mottaz E

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Apr 29, 2023

Repetitive

By Marshall

•

Sep 13, 2023

basic

By Johnson O O

•

Oct 27, 2023

dope

By DARA S

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Feb 24, 2023

good

By HARSHITHA C

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Jun 19, 2022

good

By Rosaura H

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Jul 22, 2022

?

By Raymond H

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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 Shchankina A

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Dec 27, 2023

This is a very boring course, it is not clear what it is focused on. There is very little useful information, the video is again just talking heads without supporting video materials. The spreadsheet interface being demonstrated is outdated and this only adds to the frustration. A company like Google can't update its own course? It feels like the course is made for show without the slightest understanding of how to teach people and without respect for the time of their own students. I understand that the course is for beginners, but to teach how to make the column names bold and colored... Don't you think that if people were able to register on Coursera and want to work as data analysts, they have basic computer literacy? Bottom line: a boring and useless course, a waste of time. Something useful is only in the 3rd module.