Chevron Left
Back to Ask Questions to Make Data-Driven Decisions

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

4.7
stars
33,347 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 13, 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.

BJ

Jul 20, 2023

It was a great learning curve for me giving the professionalism of the different tutors who did justice to this course. I couldn't have it any better with any learning institution. Coursera, you rock!

Filter by:

4501 - 4525 of 5,182 Reviews for Ask Questions to Make Data-Driven Decisions

By Hussein T

•

Nov 13, 2023

Great course content, Instructor is a little bit boring

By Heide A

•

Jul 9, 2022

Pretty informative. Interesting view on data analytics.

By Shantanu A

•

Feb 21, 2022

Must include hands on task in weekly challenges as well

By Bharti T

•

Aug 25, 2021

Needs more practice worksheets with big amount of data.

By Lina

•

Aug 10, 2021

Great information. Provide more hands on opportunities.

By do h

•

May 5, 2023

4.5 if more precisely it very suitable for me to study

By Nguyen T D

•

Sep 28, 2022

this course is really helpful for me when providing a

By Muhanned A

•

Mar 13, 2025

It can be more focusing asking techniques. Very good.

By Rivera O J N

•

Aug 13, 2024

muy desafiante el modulo 3 - activo desafios internos

By Alina R

•

Aug 3, 2024

metrics can be more detailed other wise it is perfect

By Babatunde J

•

May 5, 2023

Fantastic course with fantastic facilitators. Kudos !

By Madesh B

•

Oct 10, 2022

Really helpfull. Got lot of informations and advice.

By Yanga N

•

Oct 6, 2022

I really enjoyed and learned sa lot from tge course.

By Salem B

•

Feb 19, 2022

Great Work, I like it and thank you for everything :)

By AUNG T W

•

Dec 29, 2021

Mostly focus on soft skills for a data analysts role.

By Ahmed E

•

May 30, 2021

we need more explained training on using spreadsheets

By Melissa H

•

Apr 2, 2021

I learned a lot but was unsuccessful with Quick Labs.

By Puspavally A

•

Mar 30, 2023

Well developed and simple enough to follow and learn

By Dennis J B S M

•

Jul 7, 2022

Great info about how to start a data science project

By Jennifer W

•

May 23, 2022

Diretions for the hands on activity were not clear.

By Ganesh C

•

May 6, 2021

I have learned much and will be helpful in my career

By Adil

•

Jul 7, 2023

covers all the basic information very interactively

By Mariam A

•

Apr 28, 2023

This is awesome course and i learnd a lot of things

By Azeez A

•

Apr 3, 2022

The Course is intense, I had to read notes to pass.

By Jimoh Y

•

Dec 1, 2021

\Excellent laden with horizon widening experiences.