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Make Data-Driven Decisions

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Make Data-Driven Decisions

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Gain insight into a topic and learn the fundamentals.
5.0

11 reviews

Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
5.0

11 reviews

Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Discuss the importance and benefits of dashboards and reports to the data analyst with reference to Tableau and spreadsheets

  • Explain the difference between quantitative and qualitative data including reference to their use and specific examples

  • Compare and contrast data-driven decision making with data-inspired decision making

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

Details to know

Shareable certificate

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Assessments

5 assignments¹

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is part of the Google Data-Driven Decision Making Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 3 modules in this course

In this course, you'll learn to contextualize qualitative and quantitative data to improve business decisions. You'll explore data collection tools, compare data-driven and data-inspired approaches, and understand why analysis can sometimes fail. You'll examine performance metrics and use data visualization to communicate the story behind the numbers. You'll study dashboard types, design principles, and mathematical thinking strategies to spot patterns to solve problems. Finally, you'll practice selecting the right analytical tools for different datasets based on their characteristics.

By the end of this course, you will be able to: • Discuss the importance and benefits of dashboards and reports to the data analyst with reference to Tableau and spreadsheets • Explain the difference between quantitative and qualitative data including reference to their use and specific examples • Compare and contrast data-driven decision making with data-inspired decision making • Discuss the use of data in the decision-making process • Differentiate between data and metrics, giving specific examples • Demonstrate an understanding of what is involved in using a mathematical approach to analyze a problem

Analysts contextualize individual data points and interpret them to inform business decisions. Qualitative and quantitative data are crucial elements of this process. You'll learn about data collection tools, how to compare data-driven and data-inspired decisions, and why data analysis can fail.

What's included

3 videos3 readings1 assignment

3 videos•Total 11 minutes
  • Data and decisions•1 minute
  • How data empowers decisions•5 minutes
  • Qualitative and quantitative data•4 minutes
3 readings•Total 17 minutes
  • Welcome to “Make Data-Driven Decisions”•1 minute
  • Data trials and triumphs•8 minutes
  • Qualitative and quantitative data in business•8 minutes
1 assignment•Total 8 minutes
  • Test your knowledge on the power of data •8 minutes

Data visualization and metrics are widely utilized to convert raw data into useful information. You'll learn tools for visualizing data, the types of dashboards, and how metrics are used to measure performance.

What's included

2 videos2 readings2 assignments

2 videos•Total 9 minutes
  • The big reveal: Sharing your findings•5 minutes
  • Data versus metrics•4 minutes
2 readings•Total 16 minutes
  • Tools for visualizing data•8 minutes
  • Design compelling dashboards•8 minutes
2 assignments•Total 28 minutes
  • Self-Reflection: Go deeper into dashboards•20 minutes
  • Test your knowledge on following the evidence•8 minutes

Mathematical thinking helps break down problems into smaller parts and identify the right tools for analysis, which often depend on dataset size. You'll also explore the characteristics, challenges, and benefits of big and small data.

What's included

1 video1 reading2 assignments

1 video•Total 4 minutes
  • Mathematical thinking•4 minutes
1 reading•Total 4 minutes
  • Big and small data•4 minutes
2 assignments•Total 48 minutes
  • Test your knowledge on connecting the data dots•8 minutes
  • Course 3 challenge: Make data-driven decisions•40 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Google
386 Courses•16,905,595 learners

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JD
·

Reviewed on Sep 30, 2025

Sencillamente muy buen curso, es sencillo, y a la vez profundo.

Frequently asked questions

Data is a group of facts that can take many different forms, such as numbers, pictures, words, videos, observations, and more. We use and create data everyday, like when we stream a show or song or post on social media.

Data analytics is the collection, transformation, and organization of these facts to draw conclusions, make predictions, and drive informed decision-making.

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

You don't need to be a math all-star to succeed in this certificate. You need to be curious and open to learning with numbers (the language of data analysts). Being a strong data analyst is more than just math, it's about asking the right questions, finding the best sources to answer your questions effectively, and illustrating your findings clearly in visualizations.

We highly recommend taking the courses in the order presented, as the content builds on information from earlier courses. This is the third course in a series of nine courses that make up the Google Data-Driven Decision Making Specialization.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.