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

4.7
stars
33,789 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

SO

May 31, 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.

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!

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Aug 6, 2022

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Jul 1, 2021

By Syed A

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Oct 2, 2022

Hi Coursera, I would like to express my concerns over this course of the program:

Below are the things which I consider the cause of slow and dry nature of this course:

LEARNING OUTCOME WHICH I CONSIDER USEFUL:

1) The learning outcome which I got from this course WHICH I CONSIDER USEFUL is, Structured Thinking, Questions to ask from stakeholders and from myself during the six phases of analysis, Types of problems, Ineffective questions, SMART methodolgy of asking effective questions. Data-inspired decision making, Types of data, Presentation tools, Pivot tables, metric, metric goals, Small data, big data, Spreadsheet info, data life cycle and spreadsheets, Spreadsheet errors and fixes.

LEARNING OUTCOME IN WHICH I CONSIDER MYSELF IN BIT TROUBLE IN DIGESTING THE KNOWLEDGE I GAINED:

1) Scope of work, should be more practice based and practical (giving scenario questions and how to prepare SCOPE OF WORK tempelate for that scenario).

2) Week 4 of this course is not so much appreciated as i found this week's material dry and lots of efforts to understand in one go, please make this week more scenario based, more practical.

Thanks

Syed Ahmed Sultan