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Ask Questions to Make Data-Driven Decisions

Google via Coursera


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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.


  • Ask effective questions
    • Data analysts are constantly asking questions in order to find solutions and identify business potential. In this part of the course, you’ll learn about effective questioning techniques that will help guide your analysis.
  • Make data-driven decisions
    • In analytics, data drives decision-making, and this is your opportunity to explore data of all kinds and its impact on all sorts of business decisions. You’ll also learn how to effectively share your data through reports and dashboards.
  • Spreadsheet magic
    • Spreadsheets are a key data analytics tool. Here you’ll learn both why and how data analysts use spreadsheets in their work. You’ll also investigate how structured thinking helps analysts understand problems and come up with solutions.
  • Always remember the stakeholder
    • Successful data analysts balance the needs and expectations of their team and the stakeholders they support. In this part of the course, you’ll learn strategies for managing stakeholder expectations while establishing clear communication with your team.

Taught by

Google Career Certificates


2.0 rating, based on 3 Class Central reviews

4.7 rating at Coursera based on 31187 ratings

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  • Profile image for Bonny
    Embarrassingly bad, and a complete waste of time.

    Coursera says it takes 21 hours to finish this course; it took me less than an hour. I have no idea what I was supposed to learn. How to write an email? What is data? This is how you open a spreadsheet? I don't know.

    Needs a complete overhaul and review by lesson design educators.
  • Wanjiku Kariuki
    It's pretty good for a beginner, also just as a refresher to how one should approach problems that would lead to better decision making based on the data you have or are presented with.
    But it's very basic, if you have been in the data field for some time this wouldn't be of much benefit to you.
  • This course is boring. The teachers read all the lectures "from paper". A lot of simple theoretical information which is repeated over and over again. Too many tasks to write "self-reflections". They need to hire a popular Youtube blogger like Stefanoviс to make this boring course more entertaining.

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