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

4.7
stars
30,819 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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4501 - 4525 of 4,818 Reviews for Ask Questions to Make Data-Driven Decisions

By Sara L

•

Mar 29, 2021

This course felt a bit redundant In Its video Information. The videos were short but they seem to repeat themself with the briefing and the expectations of the course. I would like to spend more like practicing the application process and less time writing summering situations.

By Arthur B

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Mar 23, 2021

Very easy with some questions being more common sense based than actually reading and watching the tutorials. Also 3 attempts every 24 hours is rather generous, as it's virtually impossible to get one of 8 questions wrong after three goes. He says, for little does he know...

By George T

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May 29, 2021

I loved the foundations course and felt like I learnt a lot. However, this course was a bit of a letdown for me since I haven't learned as many new things as I did in course 1. Ximena is a good instructor but with better material or scope, the course would be much better.

By Chakshu G

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Jun 9, 2021

Great, I can't imagine a perfect course rather than this. I really loved this course because this course let me feel like a professional data analyst. Not just theories, but also gave a ton of communication and real life situation practices. My Advice, TAKE THIS COURSE!

By Aaron P

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Apr 15, 2022

There were two hands-on project where I was asked to come up with questions on my own, and left me paralyzed with what situation, or company I would be working with before asking the kind of questions relevant to the company/situation. Everything else was great.

By Ryan M

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Aug 19, 2021

There was so many videos; it get mundane. I like the hands-on approach and less vids. I have a hard time becoming a data analysist when I dont know how to actually do the work. This seems like a course for people that already know how to analyze data.

By Karl H

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Oct 13, 2021

The Instructor was easy to understand but the content was all over the place. Spreadsheets were fun but beside that it was a serious struggle to stay focused and motivated, my mind kept drifting. Where as week 4 seriously felt like physical torture.

By SHINJINI B

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Mar 31, 2023

Ximena is an excellent instructor but I feel that there was a lot of non-technical content compared to the technical part. At some point in the course I started to feel like I was taking a communications course and not a 'data analytics' course.

By Yatharth B

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Jan 19, 2022

Overall pretty good. However, some parts were unnecessarily stretched and repeting very simple and boring info. The best parts were in the beginning where they talked about actual tools and spreadsheets and taught us things related to them.

By Daniel B

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Mar 14, 2022

I know the big selling point for this program is being able to complete it regardless of one's background, but at times this course felt overly simplistic. Going into such detail on such fundamental skills felt a little drawn out for me.

By Newman S

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Jul 25, 2021

Definitely tougher than the last course. Too many times there were quiz questions with answer choices using terms we hadn't learned yet. Very nerve-racking when you are new to a subject. Overall I was satisfied with what I learned.

By Leighana L

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Jul 25, 2023

My only issue is that some questions really don't make sense. They are too vague and could be interpreted a million different ways depending on your own business structure, goals, and expectations. More specific questions, please!

By Andrew S

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May 14, 2021

I felt that this course focus a bit too much on definitions, and didn't have enough practical skill based labs. While I appreciate the communications aspect, I feel it would be better to focus on hard skills before soft skills.

By Tenzin R

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Sep 11, 2023

The course was mostly about spreadsheets formulas and functions and about the types of questions which a data analyst should be asking himself and the stakeholders, before/once he takes up a project and start his analysis.

By Rokia A

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Aug 28, 2021

It's good to know about useful things like spreadsheets but it wasn't enough. Again like the first course, the second course also contain a lot of talking a little of doing. Also the discussion areas aren't helpful at all.

By Melita M V

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May 2, 2021

The course was a bit drawn out. I found the narration of the text very boring. Just watching a person speak in almost a monotone. The final exam was nice. Actual analysis. Need to have more of such situational discussions.

By Eleni C

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Feb 18, 2022

The transmissibility of the instructor was a little bit difficult to follow, in comparison with the other instructors of the courses before and ahead, that were much more energetic, alive and clear in the video lessons..

By Cameron W

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Apr 21, 2023

Good course, though largely similar to the first course in the specialization. This course does provide an introduction to spreadsheets, but otherwise is a lot of soft skill development that sometimes feels subjective.

By SHALINI G

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Jul 19, 2022

This course covers theoritical aspects of how to deal with day-to-day activities at the workplace, like communication through email etc. This should have been the last part of the course as a behavioral study.

By Shareef A

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Oct 22, 2022

The weeks on asking effective questions are not appropriate for the format of this course. There is no opportunity to receive meaningful feedback that would help a future data analyst prepare for a project.

By Ashleigh

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Dec 8, 2022

The data analytics aspect of this course was great but I found the parts about workplace behaviour (e.g how to hold a meeting / how to deal with conflict) to be an odd and unnecessary inclusion.

By Ricardo F d A

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Apr 30, 2021

Some of the examples seemed not related to the topics at all and the first 2 weeks left me with a lot of questions. The readings were the biggest plus, they were very well structured and direct.

By Christopher E

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Sep 7, 2021

I found the second half of this course to be pretty self explainatory and not really relevant to what I was learing to be a data analyst; it's more of an application/interview prep mini-lesson.

By Ryann B

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Jun 13, 2023

I felt that much of the material was for those new to being in a professional business role. The information was good, but not new for someone who has already worked in a professional setting.

By Sara P

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Aug 5, 2022

The weeks were a bit all over the place. I did not find everything aligned with the ask phase of the data analysis cycle. I believe that the week on spreadsheets should have been placed later.