Ask Effective Questions
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Ask Effective Questions
This course is part of Google Data-Driven Decision Making Specialization
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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
Skills you'll gain
Details to know
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There are 3 modules in this course
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.
By the end of this course, you will be able to: - 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
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
2 videos•Total 8 minutes
- Data in action•5 minutes
- Nikki: The data process works•2 minutes
2 readings•Total 9 minutes
- Welcome to “Ask Effective Questions”•1 minute
- From issue to action: The six data analysis phases•8 minutes
1 assignment•Total 8 minutes
- Test your knowledge on taking action with data•8 minutes
Explore the problem types that data analysts face.
What's included
3 videos1 reading1 assignment1 plugin
3 videos•Total 15 minutes
- Common problem types•6 minutes
- Continue exploring business applications•7 minutes
- Anmol: From hypothesis to outcome•2 minutes
1 reading•Total 8 minutes
- Six common problem types•8 minutes
1 assignment•Total 8 minutes
- Test your knowledge on solving problems with data•8 minutes
1 plugin•Total 10 minutes
- Name the problem type•10 minutes
Learn how to ask effective questions to guide data analysis.
What's included
2 videos1 reading4 assignments
2 videos•Total 10 minutes
- SMART questions•7 minutes
- Evan: Data opens doors•3 minutes
1 reading•Total 8 minutes
- More about SMART questions•8 minutes
4 assignments•Total 88 minutes
- Course 2 challenge: Ask effective questions•40 minutes
- Self-Reflection: Practice working SMART•20 minutes
- Self-Reflection: Ask your own SMART questions•20 minutes
- Test your knowledge on crafting effective questions•8 minutes
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Instructor
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Alex Genadinik
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Why people choose Coursera for their career
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.
