Ask Questions to Make Data-Driven Decisions (Coursera)

Ask Questions to Make Data-Driven Decisions (Coursera)
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No prior experience with spreadsheets or data analytics required. All you need is high-school level math and a curiosity about how things work.
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Ask Questions to Make Data-Driven Decisions (Coursera)
This is the second course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. You’ll build on your understanding of the topics that were introduced in the first Google Data Analytics Certificate course. The material will help you learn how to ask effective questions to make data-driven decisions, while connecting with stakeholders’ needs. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

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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 to support an understanding 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.

WHAT YOU WILL LEARN

- Explain how each step of the problem-solving road map contributes to common analysis scenarios.

- Discuss the use of data in the decision-making process.

- Demonstrate the use of spreadsheets to complete basic tasks of the data analyst including entering and organizing data.

- Describe the key ideas associated with structured thinking.


Course 2 of 8 in the Google Data Analytics Professional Certificate


Syllabus


WEEK 1

Asking effective questions

To do the job of a data analyst, you need to ask questions and problem-solve. In this part of the course, you’ll check out some common analysis problems and how analysts solve them. You will also learn about effective questioning techniques that can help guide your analysis.


WEEK 2

Making data-driven decisions

In analytics, data drives decision making. In this part of the course, you’ll explore data of all kinds and its impact on decision making. You’ll also learn how to share your data through reports and dashboards.


WEEK 3

Learning spreadsheet basics

Spreadsheets are an important data analytics tool. In this part of the course, you will learn both why and how data analysts use spreadsheets in their work. You will also explore how structured thinking can help analysts better understand problems and come up with solutions.


WEEK 4

Always remember the stakeholder

Successful data analysts learn to balance needs and expectations. In this part of the course, you’ll learn strategies for managing the expectations of stakeholders while establishing clear communication with your team to achieve your objectives.



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MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Course Auditing
32.00 EUR/month
No prior experience with spreadsheets or data analytics required. All you need is high-school level math and a curiosity about how things work.

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.