This is the second course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. You’ll build on your understanding of the topics that were introduced in the first Google Data Analytics Certificate course. The material will help you learn how to ask effective questions to make data-driven decisions, while connecting with stakeholders’ needs. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.
This course is part of the Google Data Analytics Professional Certificate
Offered By
About this Course
No prior experience with spreadsheets or data analytics required. All you need is high-school level math and a curiosity about how things work.
What you will learn
Explain how each step of the problem-solving road map contributes to common 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 will gain
- Spreadsheet
- Questioning
- Decision-Making
- Problem Solving
- Data Analysis
No prior experience with spreadsheets or data analytics required. All you need is high-school level math and a curiosity about how things work.
Offered by

Google Career Certificates are part of Grow with Google, an initiative that draws on Google's 20-year history of building products, platforms, and services that help people and businesses grow. Through programs like these, we aim to help everyone– those who make up the workforce of today and the students who will drive the workforce of tomorrow – access the best of Google’s training and tools to grow their skills, careers, and businesses.
Syllabus - What you will learn from this course
Effective questions
To do the job of a data analyst, you need to ask questions and problem-solve. In this part of the course, you’ll check out some common analysis challenges and how analysts address them. You'll also learn about effective questioning techniques that can help guide your analysis.
Data-driven decisions
In analytics, data drives decision-making. In this part of the course, you’ll explore data of all kinds and its impact on real-life choices and strategies. You’ll also learn how to share your data through reports and dashboards.
More spreadsheet basics
Spreadsheets are a very important data analytics tool. In this part of the course, you will learn about how data analysts use spreadsheets in their work every day. You will also explore why structured thinking helps analysts better understand problems and come up with solutions.
Always remember the stakeholder
Successful data analysts learn to balance needs and expectations. In this part of the course, you’ll learn strategies for managing stakeholder expectations while establishing clear communication with your team.
Reviews
- 5 stars78.60%
- 4 stars16.98%
- 3 stars3.19%
- 2 stars0.64%
- 1 star0.56%
TOP REVIEWS FROM ASK QUESTIONS TO MAKE DATA-DRIVEN DECISIONS
The best thing about this course is connecting the dots; How data is associated with communication. Not only focusing on knowledge limited to the scope of data but giving 360-degree knowledge.
Great course as we move into the second part of 8. It began to make more sense and I felt that I already gained valuable skills I could immediately incorporate independently or within my job.
It’s a great course, helps, and in light me more than I expected in what to focus my question and who and when I ask especially the type of the question and the level of the people I should ask.
The instructor was not as engaging as Tony was. It was not bad! It's just that Tony set the bar way too high I guess. And that's okay because he was one of the best instructors I have ever had.
About the Google Data Analytics Professional Certificate
Prepare for a new career in the high-growth field of data analytics, no experience or degree required. Get professional training designed by Google and have the opportunity to connect with top employers. There are 380,000 U.S. job openings in data analytics with a $74,000 median entry-level salary.¹

Frequently Asked Questions
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