Analyzing and Visualizing Data with Google Cloud Tools
Master BigQuery and Google Sheets to analyze, visualize, and interpret data for informed decision-making. Learn collaborative data techniques.
Master BigQuery and Google Sheets to analyze, visualize, and interpret data for informed decision-making. Learn collaborative data techniques.
This course guides you through the process of utilizing Google Cloud products, specifically BigQuery and Google Sheets with Connected Sheets, to analyze, visualize, and interpret data. You'll learn how to answer specific questions and share insights with key decision makers. The course covers the entire data analysis workflow, from pulling data into Google Sheets, preparing it for analysis, performing the analysis, and sharing insights with stakeholders. You'll gain hands-on experience with BigQuery data connectors and learn how to collaborate effectively on data clean-up, analysis, and visualization. By the end of the course, you'll be equipped with the skills to leverage these powerful tools for data-driven decision making in a business context.
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What you'll learn
Describe how data analysts use BigQuery and Google Sheets together via Connected Sheets to answer data-related questions
Use BigQuery and Google Sheets together via Connected Sheets to collaborate on data clean-up, analysis, and visualization
Pull data from BigQuery into Google Sheets using BigQuery Connected Sheets
Extract and filter BigQuery data using Google Sheets
Perform data analysis using Google Sheets
Visualize and share insights using Google Sheets
Skills you'll gain
This course includes:
37 Minutes PreRecorded video
5 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There is 1 module in this course
This course provides a comprehensive introduction to analyzing and visualizing data using Google Cloud tools, specifically BigQuery and Google Sheets with Connected Sheets. Students learn how to leverage these powerful tools to answer data-related questions and share insights with key decision makers. The curriculum covers the entire data analysis workflow, from pulling data into Google Sheets, preparing it for analysis, performing the analysis, and effectively sharing insights. By combining BigQuery's powerful data processing capabilities with Google Sheets' familiar interface and visualization tools, learners gain practical skills in collaborative data analysis and visualization techniques. The course includes hands-on labs and a challenge lab to reinforce learning and test new skills in a real-world context.
Using the BigQuery data connector
Module 1 · 7 Hours to complete
Fee Structure
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Instructor
Course Instructor, Technology and Product Planning
Jasmine McNeil is a seasoned manager and course instructor affiliated with Johns Hopkins University, where she leads the Technology and Product Planning course on Coursera. With dual master’s degrees in Business Administration and Management, she specializes in product strategy, agile project management, and human-centered design. Her teaching focuses on guiding learners through the end-to-end process of building digital health products—from ideation and research to deployment—by integrating healthcare technology, stakeholder management, and design thinking. Through insights from industry leaders and real-world case studies, she helps professionals understand how to bring innovative health technology solutions from concept to implementation.
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Frequently asked questions
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