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

4.7
stars
32,736 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

DD

May 12, 2024

Everything was perfect but some questions on the practice and graded quizzes were tricky. The answers conflicted from the point of view side so it might need a better explanation for the right answer.

SO

May 30, 2022

The Skill of asking the right questions is usually very underrated and many people just overlook it. That's why I'm appreciative of google for teaching this core skill and making it super interesting.

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4176 - 4200 of 5,115 Reviews for Ask Questions to Make Data-Driven Decisions

By Atul Y

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Jul 2, 2021

it's a very well ,focussed course on the topic- Ask Question. one can expext a lot worth watching and learning the new aspect as a Data Analyst Aspirant.

By PAVAN K

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Apr 5, 2021

The way Ximena taught was really good but I just felt the first course set standards high so I could only rate it four comparing it with the first one.

By Comic A

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Sep 14, 2021

Only thing I dislike are the questions that want you to come up with mock issues. It'd be easier if they give you an issue and have to work that out.

By renzo n

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Dec 27, 2023

Course is good for developing questions that we may need in doing data gathering. Lacks technicality in terms of using SQL but the concepts is good.

By Anup Z

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Mar 13, 2022

Great content. I had doubt over answer of one of the question in last practice test, it would have been good if there was option to raise grievances

By Mohammed A Y

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Feb 24, 2024

im just in the third course and it is prepare phase and this course is good but i will give my full review after i finished this course completely

By Jose D J R d l C

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Sep 2, 2021

In general it's a very good course, but the Spreadsheets section was very simple. Delving into that topic at a more advanced level would be great.

By Kevin W F

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Mar 23, 2021

Great presenter but when she gets excited her vice pitch really goes high. Also, the speakers and voices are not syched. Lips do NOTmatch voice.

By Jakub S

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Jun 6, 2023

I enjoy learning practical skills so for that reason I can't give it a 5. I hope that the next course will provide me with "hands-on experience".

By Gabriela A

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Jun 13, 2022

The pace for the course is a little slower than I'd like, but I understand that that may be because I'm not an absolute beginner in the subject.

By nikhil k

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Jul 17, 2024

It is a best course but should work little bit on reducing the lecturing videos and should increase more practical or technical type of videos.

By Ezeagu I

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Aug 30, 2022

The Course is really an Eye Opening to Data Driven Decisions and Effective Questions. I sincerely appreciate you guys at google for this course

By Olatunji K

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Nov 17, 2022

The class was interactive and the instructor takes her time to teach also, give a lot of examples to back up her point for easy understanding.

By Elena T

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Mar 8, 2022

The content of the course is good, but the instructor is a bit boring. I almost fell alseep a couple of time because of her monotonous voice.

By Shannon R

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Jul 18, 2021

A highlight of this course was week 3 where it covered the basics of spreadsheets and in week 4 about setting expectations with stakeholders.

By Lutfi Z

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Jun 15, 2022

This course is important but feel boring to understand it one by one. I feel this because it more to improve our behavior as a data analyst.

By Takahide M

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Jun 29, 2021

This course was very easy to understand. However, I felt that the speed of the video was fast. The learning materials have been reviewed.

By Madelyn B

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May 5, 2021

Great overview of not just technical skills but also 'soft' interpersonal skills. Guides you through real examples of workplace situations.

By Aneeka R

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Aug 20, 2023

I'm not entirely sure how to form smart questions, i could have used more examples of it, and how to form it. it's tougher than it seems.

By mohammed o k

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Feb 17, 2023

I had some difficulties solving the practice quizzes in this course. but overall it was very fruitful, especially the spreadsheet part.

By Jaqueline R

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Mar 21, 2022

I would have liked to have spent more time on quantitative and qualitative analysis as well as data vs. metrics, but I have the basics.

By Paz G

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Nov 3, 2021

Course was excellent! However, the instructor was hard to understand, I had to use subtitles. With that being said, she was uplifting.

By Samuel H

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Apr 8, 2021

This course has highlighted a number of critical steps or stages that you as a data analyst need to be aware of every step of the way.

By deepti h

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Mar 31, 2021

I am glad Google launched this series. It's really awesome as it gives insights into how actually data analysts work. Happy Learning.

By Karla G

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Jun 27, 2023

I think this course is really helpfully but it need more information about some things like big data, small data SQL, within others.