In this course, you'll learn about problem solving in data analysis through real-world scenarios. You’ll explore the phases of data analysis and the problem types that data analysts face. You’ll also learn how to ask effective questions to guide data analysis. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analytics tasks.
Ask Effective Questions
Ask Effective Questions
This course is part of Google Data-Driven Decision Making Specialization
Instructor: Google Career Certificates
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Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Explore problem solving in data analysis through a variety of real-world business scenarios
Describe the six phases of the data analysis process
Identify the common problem types that data analysts face
Practice effective questioning techniques that can help guide analysis
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Shareable certificate
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Recently updated!
September 2025
Taught in English
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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
Learn about problem solving in the data analysis phase through real-world scenarios and explore the phases of data analysis.
What's included
2 videos2 readings1 assignment
Explore the problem types that data analysts face.
What's included
3 videos1 reading1 assignment1 plugin
Learn how to ask effective questions to guide data analysis.
What's included
2 videos1 reading4 assignments
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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.
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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.