VOOZH about

URL: https://www.coursera.org/learn/google-ask-effective-questions

⇱ Ask Effective Questions | Coursera


Ask Effective Questions

Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.

Ask Effective Questions

2,744 already enrolled

Included with

Ask Coursera

Gain insight into a topic and learn the fundamentals.
4.9

11 reviews

Beginner level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.9

11 reviews

Beginner level

Recommended experience

3 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

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

6 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 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 videosTotal 8 minutes
  • Data in action5 minutes
  • Nikki: The data process works2 minutes
2 readingsTotal 9 minutes
  • Welcome to “Ask Effective Questions”1 minute
  • From issue to action: The six data analysis phases8 minutes
1 assignmentTotal 8 minutes
  • Test your knowledge on taking action with data8 minutes

Explore the problem types that data analysts face.

What's included

3 videos1 reading1 assignment1 plugin

3 videosTotal 15 minutes
  • Common problem types6 minutes
  • Continue exploring business applications7 minutes
  • Anmol: From hypothesis to outcome2 minutes
1 readingTotal 8 minutes
  • Six common problem types8 minutes
1 assignmentTotal 8 minutes
  • Test your knowledge on solving problems with data8 minutes
1 pluginTotal 10 minutes
  • Name the problem type10 minutes

Learn how to ask effective questions to guide data analysis.

What's included

2 videos1 reading4 assignments

2 videosTotal 10 minutes
  • SMART questions7 minutes
  • Evan: Data opens doors3 minutes
1 readingTotal 8 minutes
  • More about SMART questions8 minutes
4 assignmentsTotal 88 minutes
  • Course 2 challenge: Ask effective questions40 minutes
  • Self-Reflection: Practice working SMART20 minutes
  • Self-Reflection: Ask your own SMART questions20 minutes
  • Test your knowledge on crafting effective questions8 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 Courses16,918,418 learners

Explore more from Data Analysis

Why people choose Coursera for their career

👁 Image

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
👁 Image

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
👁 Image

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
👁 Image

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

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 second 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.