Sorry, this page is no longer available

We may earn an affiliate commission when you visit our partners.

Course image

Analyzing and Visualizing Data the Google Way

Google Cloud Training

Google Cloud Training

This learning experience guides you through the process of utilizing various data sources and multiple Google Cloud products (including BigQuery and Google Sheets using Connected Sheets) to analyze, visualize, and interpret data to answer specific questions and share insights with key decision makers.

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Here's a deal for you

Save money when you learn with a deal that may be relevant to this course.

All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Valid until March 12, 2027

Save 40% Off 3 Months

Access thousands of top-rated learning programs with a Coursera Plus monthly subscription and take 40% off 3 months for a limited time.

What's inside

Syllabus

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Helps data analysts work with data using BigQuery and Google Sheets

Guides data analysts through using multiple Google Cloud products

Instructors are Google Cloud, which is a highly regarded provider of cloud-based solutions

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.

Save

Reviews summary

Practical google data analysis and visualization

According to learners, this course offers a practical and hands-on approach to data analysis and visualization using Google Cloud products. Students appreciate the clear guidance on how Google Sheets integrates with BigQuery, making it ideal for those seeking to leverage Google's ecosystem for data insights. The course provides a solid foundation for understanding how to connect, analyze, and present data for decision-making. While offering a good start, some advanced users might find the depth more suited for beginners, which could be a potential limitation. The inclusion of challenge labs is frequently highlighted as a positive feature for reinforcing learning.

Deep dive into Google Cloud products like BigQuery and Sheets.

"The course excels in showing how to leverage BigQuery and Connected Sheets."

"If you're already in the Google ecosystem, this course is a perfect fit."

"I appreciate the detailed guidance on Google-specific data connectors."

Accessible introduction to data analysis for new users.

"As a beginner, I found the explanations clear and easy to follow."

"The module on BigQuery data connector was a great starting point for me."

"It provides a solid foundation for those new to data analysis with Google tools."

Challenge labs reinforce learning with practical exercises.

"The optional challenge lab was a great way to test my understanding."

"I really value the hands-on practice provided throughout the modules."

"Working directly with BigQuery and Sheets in the labs helped solidify concepts."

Focuses on real-world use of Google data tools.

"I found the methods for using Google Sheets with BigQuery immediately applicable to my work."

"The course provides actionable strategies for data analysis and visualization."

"It's great to see a course focused on practical skills rather than just theory."

May lack advanced topics for experienced professionals.

"For someone already familiar with SQL or BigQuery, some parts might feel a bit basic."

"I wish there were more advanced examples or complex data scenarios covered."

"While good for basics, I felt it could expand on optimization techniques."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Analyzing and Visualizing Data the Google Way with these activities:

Review basic statistics and probability

Show steps

This will refresh your memory on the basic concepts of statistics and probability, which are essential for understanding the material in this course.

Browse courses on Statistics

Show steps

Review your notes from a previous statistics course.
Take a practice quiz on basic statistics and probability.

Watch tutorials on how to use Google Sheets

Show steps

This will teach you how to use Google Sheets, which is a valuable tool for data analysis and visualization.

Browse courses on Google Sheets

Show steps

Find a tutorial on how to use Google Sheets.
Follow the steps in the tutorial to learn how to perform basic tasks in Google Sheets.

Create a cheat sheet of SQL commands

Show steps

This will give you a quick and easy reference for SQL commands.

Browse courses on SQL

Show steps

Find a list of SQL commands.
Create a cheat sheet that includes the commands and their descriptions.

Five other activities

Expand to see all activities and additional details

Show all eight activities

Practice using SQL to query data

Show steps

This will give you practice using SQL to query data, which is a fundamental skill for data analysts.

Browse courses on SQL

Show steps

Find a dataset that you can use to practice.
Write a series of SQL queries to extract different types of information from the dataset.
Check your results to make sure they are correct.

Join a study group for this course

Show steps

This will give you an opportunity to learn from and collaborate with other students.

Show steps

Find a study group for this course.
Attend the study group meetings and participate in the discussions.

Attend a workshop on data analysis

Show steps

This will give you an opportunity to learn from experts in the field and network with other data analysts.

Browse courses on Data Analysis

Show steps

Find a workshop on data analysis.
Register for the workshop.
Attend the workshop and participate in the activities.

Create a data visualization dashboard

Show steps

This will give you practice creating data visualizations, which is an important skill for data analysts.

Browse courses on Data Visualization

Show steps

Choose a dataset that you want to visualize.
Select a data visualization tool.
Create a data visualization dashboard that tells a story about the data.

Build a data analysis pipeline

Show steps

This will give you practice building a complete data analysis pipeline, from data collection to visualization.

Browse courses on Data Analysis

Show steps

Choose a dataset that you want to analyze.
Collect the data.
Clean and prepare the data.
Analyze the data.
Visualize the data.

Career center

Learners who complete Analyzing and Visualizing Data the Google Way will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. They use this information to make recommendations to businesses on how to improve their operations. This course provides a strong foundation in data analysis techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of data analysis.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use statistical and machine learning techniques to build predictive models and solve business problems. They work closely with data analysts to identify the most important data to collect and how to interpret the results of the analysis. This course provides a solid foundation in data science techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of data science.

See salaries and explore the career path for Data Scientist

Business Analyst

Business Analysts help businesses understand their data and make better decisions. They work with stakeholders to identify business problems, collect data, and develop solutions. This course provides a strong foundation in business analysis techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of business analysis.

See salaries and explore the career path for Business Analyst

Market Researcher

Market Researchers collect and analyze data about consumer behavior and market trends. They use this information to help businesses make decisions about product development, marketing, and pricing. This course provides a strong foundation in market research techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of market research.

See salaries and explore the career path for Market Researcher

Financial Analyst

Financial Analysts use data to assess the financial health of companies and make investment recommendations. They work with companies to develop financial models and analyze financial data. This course provides a strong foundation in financial analysis techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of financial analysis.

See salaries and explore the career path for Financial Analyst

Operations Research Analyst

Operations Research Analysts use mathematical and statistical techniques to solve business problems. They work with businesses to improve efficiency, productivity, and decision-making. This course provides a strong foundation in operations research techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of operations research.

See salaries and explore the career path for Operations Research Analyst

Management Consultant

Management Consultants help businesses improve their performance. They work with clients to identify problems, develop solutions, and implement change. This course provides a strong foundation in management consulting techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of management consulting.

See salaries and explore the career path for Management Consultant

Product Manager

Product Managers are responsible for developing and managing products. They work with engineers, designers, and marketers to bring new products to market. This course provides a strong foundation in product management techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of product management.

See salaries and explore the career path for Product Manager

Marketing Manager

Marketing Managers are responsible for developing and executing marketing campaigns. They work with creative teams to develop marketing materials and with sales teams to drive sales. This course provides a strong foundation in marketing management techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of marketing management.

See salaries and explore the career path for Marketing Manager

Sales Manager

Sales Managers are responsible for leading and managing sales teams. They work with sales representatives to develop sales strategies and close deals. This course provides a strong foundation in sales management techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of sales management.

See salaries and explore the career path for Sales Manager

Customer Success Manager

Customer Success Managers are responsible for ensuring that customers are satisfied with a company's products and services. They work with customers to identify problems and resolve issues. This course provides a strong foundation in customer success management techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of customer success management.

See salaries and explore the career path for Customer Success Manager

Data Engineer

Data Engineers are responsible for building and maintaining the infrastructure that supports data analysis and data science. They work with data analysts and data scientists to ensure that data is accessible, reliable, and secure. This course may provide a helpful foundation in data engineering techniques, but it is important to note that data engineering requires specialized knowledge and skills that are not covered in this course.

See salaries and explore the career path for Data Engineer

Software Engineer

Software Engineers are responsible for designing, developing, and maintaining software applications. They work with product managers, designers, and other engineers to bring new products to market. This course may provide a helpful foundation in software engineering techniques, but it is important to note that software engineering requires specialized knowledge and skills that are not covered in this course.

See salaries and explore the career path for Software Engineer

Web Developer

Web Developers are responsible for designing, developing, and maintaining websites. They work with designers, content writers, and other developers to create websites that are user-friendly and effective. This course may provide a helpful foundation in web development techniques, but it is important to note that web development requires specialized knowledge and skills that are not covered in this course.

See salaries and explore the career path for Web Developer

Data Visualization Specialist

Data Visualization Specialists are responsible for creating visual representations of data. They work with data analysts and data scientists to communicate insights and trends to stakeholders. This course provides a strong foundation in data visualization techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of data visualization.

See salaries and explore the career path for Data Visualization Specialist

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Analyzing and Visualizing Data the Google Way.

Cover image

Cover image

Calling Bullshit

Save

Offers a comprehensive overview of data science, including data collection, analysis, and visualization. Focuses on the practical aspects of data science.

Calling Bullshit

Calling Bullshit

Cover image

Cover image

Data Analysis for the Life Sciences with R

Save

Provides a comprehensive introduction to data science, including data collection, analysis, and visualization. Focuses on the theoretical foundations of data science.

Data Analysis for the Life Sciences with R

Data Analysis for the Life Sciences with R

Cover image

Cover image

Data Science for Business

Save

Provides a practical guide to data science for business applications. Suitable for learners interested in using data science to solve business problems.

Data Science for Business: What You Need to Know...

Data Science for Business: What You Need to Know...

Cover image

Cover image

Python for Data Analysis

Save

Suitable for learners with programming experience looking to apply Python to data analysis. Provides a solid foundation in Python for data-related tasks.

Python for Data Analysis

Python for Data Analysis

Cover image

Cover image

Statistical Rethinking

Save

Provides an accessible introduction to Bayesian statistics. Suitable for learners with a basic understanding of statistics.

Statistical Rethinking

Statistical Rethinking

Cover image

Cover image

Automated Grammatical Error Detection for Language...

Save

Provides a basic introduction to data analytics. Suitable for learners with no prior knowledge of the field.

Automated Grammatical Error Detection for Language...

Automated Grammatical Error Detection for Language...

Share

Help others find this course page by sharing it with your friends and followers:

Copy Link

Similar courses

Here are nine courses similar to Analyzing and Visualizing Data the Google Way.

Fundamentals of Big Data

Fundamentals of Big Data

SQL for Data Science with R

SQL for Data Science with R

Multi-Echelon Inventory Simulation Using R Simmer

Multi-Echelon Inventory Simulation Using R Simmer

Introduction to R Programming for Data Science

Introduction to R Programming for Data Science

Create a Custom Marketing Analytics Dashboard in Data Studio

Create a Custom Marketing Analytics Dashboard in Data...

Create Experiments for Business or Research

Create Experiments for Business or Research

Analyze Digital Marketing Spend in Tableau

Analyze Digital Marketing Spend in Tableau

Patient Perspectives on Medications: Qualitative Interviews

Patient Perspectives on Medications: Qualitative...

Tesla Stock Price Prediction using Facebook Prophet

Tesla Stock Price Prediction using Facebook Prophet

Coursera Buyer Protection & Guarantee

Verified partner policies & purchase protections

Accredited University Partner

Free Trial & Audit

7-Day Free Trial & Free Audit

7-day free trial on monthly Coursera Plus subscriptions; free audit option available on most individual courses to explore video lectures and readings at no charge.

Return & Refund Policy

14-Day Refund Guarantee

14-day refund window on annual Coursera Plus subscriptions and single-course purchases prior to certificate issuance. Monthly subscriptions do not offer refunds once billed.

Buyer Protections

Verified Academic & Industry Partner

Accredited university and industry certifications (e.g. Stanford, Google, IBM, Yale), secure SSL payment processing, and verifiable digital certificate links.

Key Purchase Protections

14-day refund window on annual Coursera Plus and single courses

7-day free trial on monthly Coursera Plus subscriptions

Free course audit option for lectures and readings

Verified certificates from top universities & companies

OpenCourser Verified Partner Policy details last reviewed: 2026-10-22

Course image

Effort

3 weeks of study, 6-8 hours/week

Level

Introductory

Via

Coursera

Institution

Google Cloud

Instructor

Google Cloud Training

Language

English

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Helps data analysts work with data using BigQuery and Google Sheets

Guides data analysts through using multiple Google Cloud products

Instructors are Google Cloud, which is a highly regarded provider of cloud-based solutions

Share this

Share to help others discover this course.

Link

Begin learning today

Enroll now to gain full access to Analyzing and Visualizing Data the Google Way.

Enroll now Enroll in this course

Save for later

Add this course to your list. Find it anytime.

Save

Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser