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

4.7
stars
30,630 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

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.

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.

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4626 - 4650 of 4,788 Reviews for Ask Questions to Make Data-Driven Decisions

By Ananya M

Aug 1, 2021

too theoretical

By Ahmed M

Oct 25, 2022

جميل ومناسب

By Raj K

Aug 11, 2022

Interesting.

By Slimane T B

Jan 4, 2022

it's alright

By Łukasz B

Aug 12, 2021

Very Basic.

By Diego M

Jan 4, 2023

Very basic

By PULIVENDULA P K

Oct 13, 2022

very good

By Micah M

Nov 28, 2021

Too basic

By Adel S

Jul 26, 2023

gsdsadsad

By imran a

Nov 23, 2021

Very Slow

By Ronald S

Feb 17, 2023

klhgljgh

By Greg R

Aug 15, 2022

Too easy

By mamta s

Mar 27, 2022

verygood

By Mohamed Z

Dec 26, 2021

basics

By Prathyusha C

Oct 17, 2022

good

By L e

Aug 9, 2023

Good

By erina I

Jul 19, 2023

good

By Mehvish s

Jun 25, 2023

good

By Deleted A

Jun 6, 2023

good

By Saiyam J

Apr 1, 2023

good

By Amir S

Feb 5, 2023

Good

By James A K

Sep 3, 2022

good

By Vishal L

Aug 23, 2022

nice

By Akshay G

Mar 19, 2024

grt

By Nathan W

May 19, 2021

While this course did provide some useful material, mostly when it was focusing on what sorts of questions to ask during data analysis, I felt that much of it was irrelevant to the specifics of being a data analyst. I am taking this eight-course certificate program not to learn how to work an office job, but to learn how to be a data analyst. Sections focusing on office etiquette are ancillary to that goal, and are irrelevant to the time I am putting in here. I feel that these sections could better be put into a supplemental course rather than a core part of the analytics certificate.

Additionally, I struggled some with Ximena's presentation. Many of her examples were not helpful because they were too vague or not rooted in real-life situations, so I could not connect them together or make sense of what I was supposed to be paying attention to. Primarily, she would say things like "You're in this situation, and you need to do this," but I wouldn't have any way to know *why* I should "do this" or why I would be in that situation in the first place. By contrast, Sarah's lone video on her specific experiences as a data analyst was very helpful because she walked me, as the viewer, through each step of the process she went on to analyze the data in her situation.

Lastly (and this is somewhat unfortunate), Ximena's accent, though not very strong, did make it difficult for me to understand her at times. I found that I had to focus a lot more on the specific words she was saying, which made it harder for me to connect the dots and get to the meaning she was trying to communicate; this wasn't a problem I had with the primary video presenter during the first course (I can't recall his name now). It's possible that I'm alone in this, but that was my experience. I also found her constant encouragement at the end of each video a little off-putting. I am looking for a teacher in these subjects, rather than a cheerleader.