This is the second course in the Google Data Analytics Certificate. You’ll build on your understanding of the topics that were introduced in the first course of this certificate program. The material will help you learn how to ask effective questions, make data-driven decisions, and meet stakeholders’ needs. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analytics tasks.
Ask Questions to Make Data-Driven Decisions
Ask Questions to Make Data-Driven Decisions
This course is part of Google Data Analytics Professional Certificate
Instructor: Google Career Certificates
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Gain insight into a topic and learn the fundamentals.
4.7
(32,678 reviews)
Beginner level
Recommended experience
Flexible schedule
Approx. 20 hours
Learn at your own pace
98%
Most learners liked this course
What you'll learn
Explain how the problem-solving road map applies to typical 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.
Skills you'll gain
- Category: Decision-Making
- Category: Spreadsheet
- Category: Data Analysis
- Category: Problem Solving
- Category: Questioning
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
22 quizzes, 2 assignments
Taught in English
Build your Data Analysis expertise
This course is part of the Google Data Analytics Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- 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 from Google
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 4 modules in this course
Data analysts are constantly asking questions in order to find solutions and identify business potential. In this part of the course, you’ll learn about effective questioning techniques that will help guide your analysis.
What's included
8 videos7 readings5 quizzes1 assignment2 plugins
In analytics, data drives decision-making, and this is your opportunity to explore data of all kinds and its impact on all sorts of business decisions. You’ll also learn how to effectively share your data through reports and dashboards.
What's included
6 videos6 readings5 quizzes
Spreadsheets are a key data analytics tool. Here you’ll learn both why and how data analysts use spreadsheets in their work. You’ll also investigate how structured thinking helps analysts understand problems and come up with solutions.
What's included
9 videos10 readings10 quizzes1 plugin
Successful data analysts balance the needs and expectations of their team and the stakeholders they support. In this part of the course, you’ll learn strategies for managing stakeholder expectations while establishing clear communication with your team.
What's included
14 videos8 readings2 quizzes1 assignment1 plugin
Instructor
Instructor ratings
4.8 (11,562 ratings)Top Instructor
Google Career Certificates
Google
325 Courses11,245,113 learners
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4.7
32,678 reviews
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Showing 3 of 32678
BM
5
Reviewed on Aug 29, 2021
It was a good course, I didnt know anything related to data analysis, and since I started these courses I've been able build up my skills, mind you I've haven't put it into practice in reality yet.
DD
5
Reviewed on May 12, 2024
Everything was perfect but some questions on the practice and graded quizzes were tricky. The answers conflicted from the point of view side so it might need a better explanation for the right answer.
SA
4
Reviewed on Mar 27, 2021
I feel like this course was rather lackluster and only reinforces basics that most professionals and/or fresh graduates are already aware of. Regardless, it was a good refresher and quick paced.
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.
The amount of data created each day is tremendous. Any time you use your phone, look up something online, stream music, shop with a credit card, post on social media, or use GPS to map a route, you’re creating data. Companies must continually adjust their products, services, tools, and business strategies to meet consumer demand and react to emerging trends. Because of this, data analyst roles are in demand and competitively paid.
Data analysts make sense of data and numbers to help organizations make better business decisions. They prepare, process, analyze, and visualize data, discovering patterns and trends and answering key questions along the way. Their work empowers their wider team to make better business decisions.
You will learn the skill set required for becoming a junior or associate data analyst in the Google Data Analytics Certificate. Data analysts know how to ask the right question; prepare, process, and analyze data for key insights; effectively share their findings with stakeholders; and provide data-driven recommendations for thoughtful action.
You’ll learn these job-ready skills in our certificate program through interactive content (discussion prompts, quizzes, and activities) in under six months, with under 10 hours of flexible study a week. Along the way, you'll work through a curriculum designed with input from top employers and industry leaders, like Tableau, Accenture, and Deloitte. You’ll even have the opportunity to complete a case study that you can share with potential employers to showcase your new skill set.
After you’ve graduated from the program, you’ll have access to career resources and be connected directly with employers hiring for open entry-level roles in data analytics.