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Google Cloud Training
This is a Google Cloud Self-Paced Lab.
With Connected Sheets, you can analyze billions of rows and petabytes of data in Google Sheets without specialized knowledge of computer languages like SQL. In this hands-on-lab, you will learn how to connect a BigQuery dataset to Google Sheets and analyze your data.
Register for this course and see more details by visiting:
OpenCourser.com/course/lgcsdh/connected
What's inside
Syllabus
Connected Sheets: Qwik Start
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides a quick introduction to Connected Sheets, making it suitable for beginners
Offers hands-on experience with connecting a BigQuery dataset to Google Sheets, enhancing practical skills
Suitable for individuals looking to analyze large datasets without prior knowledge of SQL, expanding their analytical capabilities
Save this course
Save Connected Sheets: Qwik Start to your list so you can find it easily later:
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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 Connected Sheets: Qwik Start with these
activities:
Review Basic Data Analysis Techniques
Show steps
Practice basic data analysis skills to strengthen your understanding of the concepts taught in the course.
Browse courses on
Data Analysis
Show steps
-
Review basic concepts of statistics, such as mean, median, and standard deviation.
-
Practice using data visualization tools like charts and graphs.
-
Analyze small datasets and identify patterns and insights.
Connect with the Google Cloud Community
Show steps
Expand your professional network and learn from others by attending Google Cloud community events.
Show steps
-
Join online communities and discussion forums related to Google Cloud Platform.
-
Attend virtual or in-person meetups and networking events.
-
Connect with professionals on LinkedIn and Twitter who are using Google Cloud Platform.
Practice SQL Queries
Show steps
Reinforce your SQL skills by completing practice exercises and test your understanding of querying data.
Browse courses on
SQL
Show steps
-
Use online SQL practice platforms or tutorials to complete exercises.
-
Write queries to retrieve data from sample datasets.
-
Test your queries and refine them to improve their efficiency.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend a Google Cloud Platform Workshop
Show steps
Gain practical experience and learn from industry experts by attending a Google Cloud Platform workshop that covers Connected Sheets.
Show steps
-
Research and find relevant Google Cloud Platform workshops.
-
Register and attend the workshop.
-
Participate actively in the workshop and engage with instructors and attendees.
Explore Advanced Connected Sheets Techniques
Show steps
Enhance your Connected Sheets knowledge by exploring advanced techniques and case studies.
Show steps
-
Explore official Google documentation and tutorials on advanced Connected Sheets features.
-
Find and review case studies or examples of how others have used Connected Sheets for complex tasks.
-
Experiment with the techniques you learn and apply them to your own projects.
Build a Simple Data Analysis Dashboard
Show steps
Apply your data analysis skills by creating a dashboard that visualizes key insights from a dataset.
Browse courses on
Data Visualization
Show steps
-
Identify the key metrics and insights you want to display.
-
Choose a dashboarding tool and create a new dashboard.
-
Visualize the data using charts, graphs, and other visualizations.
-
Present your dashboard and explain your findings.
Contribute to Connected Sheets Open Source Projects
Show steps
Enhance your technical skills and make a meaningful contribution to the open source community by participating in Connected Sheets open source projects.
Browse courses on
Open Source
Show steps
-
Identify open source projects related to Connected Sheets on platforms like GitHub.
-
Review the project documentation and identify areas where you can contribute.
-
Make code contributions, report bugs, or suggest improvements.
Analyze and Present a Real-World Dataset
Show steps
Demonstrate your ability to apply the concepts learned in the course by analyzing and presenting a real-world dataset.
Browse courses on
Data Analysis
Show steps
-
Find a publicly available dataset that aligns with your interests or industry.
-
Clean and prepare the data for analysis.
-
Perform exploratory data analysis to identify patterns and insights.
-
Visualize and present your findings in a clear and concise manner.
Review Basic Data Analysis Techniques
Show steps
Practice basic data analysis skills to strengthen your understanding of the concepts taught in the course.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Review basic concepts of statistics, such as mean, median, and standard deviation.
- Practice using data visualization tools like charts and graphs.
- Analyze small datasets and identify patterns and insights.
Connect with the Google Cloud Community
Show steps
Expand your professional network and learn from others by attending Google Cloud community events.
Show steps
Show steps
Show steps
- Join online communities and discussion forums related to Google Cloud Platform.
- Attend virtual or in-person meetups and networking events.
- Connect with professionals on LinkedIn and Twitter who are using Google Cloud Platform.
Practice SQL Queries
Show steps
Reinforce your SQL skills by completing practice exercises and test your understanding of querying data.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Use online SQL practice platforms or tutorials to complete exercises.
- Write queries to retrieve data from sample datasets.
- Test your queries and refine them to improve their efficiency.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend a Google Cloud Platform Workshop
Show steps
Gain practical experience and learn from industry experts by attending a Google Cloud Platform workshop that covers Connected Sheets.
Show steps
Show steps
Show steps
- Research and find relevant Google Cloud Platform workshops.
- Register and attend the workshop.
- Participate actively in the workshop and engage with instructors and attendees.
Explore Advanced Connected Sheets Techniques
Show steps
Enhance your Connected Sheets knowledge by exploring advanced techniques and case studies.
Show steps
Show steps
Show steps
- Explore official Google documentation and tutorials on advanced Connected Sheets features.
- Find and review case studies or examples of how others have used Connected Sheets for complex tasks.
- Experiment with the techniques you learn and apply them to your own projects.
Build a Simple Data Analysis Dashboard
Show steps
Apply your data analysis skills by creating a dashboard that visualizes key insights from a dataset.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify the key metrics and insights you want to display.
- Choose a dashboarding tool and create a new dashboard.
- Visualize the data using charts, graphs, and other visualizations.
- Present your dashboard and explain your findings.
Contribute to Connected Sheets Open Source Projects
Show steps
Enhance your technical skills and make a meaningful contribution to the open source community by participating in Connected Sheets open source projects.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Identify open source projects related to Connected Sheets on platforms like GitHub.
- Review the project documentation and identify areas where you can contribute.
- Make code contributions, report bugs, or suggest improvements.
Analyze and Present a Real-World Dataset
Show steps
Demonstrate your ability to apply the concepts learned in the course by analyzing and presenting a real-world dataset.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find a publicly available dataset that aligns with your interests or industry.
- Clean and prepare the data for analysis.
- Perform exploratory data analysis to identify patterns and insights.
- Visualize and present your findings in a clear and concise manner.
Career center
Learners who complete Connected Sheets: Qwik Start will develop knowledge and skills
that may be useful to these careers:
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze and understand data. They use this data to make predictions and develop investment strategies. The Connected Sheets: Quick Start course can help you become a better Quantitative Analyst by teaching you how to use Google Sheets to analyze large datasets. This course will help you build a foundation in data analysis, a critical skill for Quantitative Analysts.
Statistician
Statistician
Statisticians use data to draw conclusions about populations. They develop and use statistical models to analyze data and make predictions. The Connected Sheets: Quick Start course can help you become a better Statistician by teaching you how to use Google Sheets to analyze large datasets. This course will help you build a foundation in data analysis, a critical skill for Statisticians.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to solve complex business problems. They use mathematical and statistical models to improve效率 and productivity. The Connected Sheets: Quick Start course can help you become a better Operations Research Analyst by teaching you how to use Google Sheets to analyze large datasets. This course will help you build a foundation in data analysis and modeling, two essential skills for Operations Research Analysts.
Researcher
Researcher
Researchers use data to answer questions and solve problems. They use scientific methods to collect and analyze data, and they draw conclusions based on their findings. The Connected Sheets: Quick Start course can help you become a better Researcher by teaching you how to use Google Sheets to analyze large datasets. This course will help you build a foundation in data analysis, a critical skill for Researchers.
Data Analyst
Data Analyst
Data Analysts use data to make informed decisions. They collect, clean, and analyze data to identify trends, patterns, and insights. The Connected Sheets: Quick Start course can help you become a better Data Analyst by teaching you how to use Google Sheets to analyze large datasets. This course will help you build a foundation in data analysis, a critical skill for Data Analysts.
Risk Analyst
Risk Analyst
Risk Analysts use data to identify and assess risks. They develop strategies to mitigate risks and protect organizations from financial loss. The Connected Sheets: Quick Start course can help you become a better Risk Analyst by teaching you how to use Google Sheets to analyze large datasets. This course will help you build a foundation in data analysis, a critical skill for Risk Analysts.
Market Researcher
Market Researcher
Market Researchers collect and analyze data to understand consumer behavior. They use this data to develop marketing strategies and campaigns. The Connected Sheets: Quick Start course can help you become a better Market Researcher by teaching you how to use Google Sheets to analyze large datasets. This course will help you build a foundation in data analysis, a critical skill for Market Researchers.
Business Analyst
Business Analyst
Business Analysts work with stakeholders to understand, analyze, and solve business problems. They use data analysis and modeling techniques to identify opportunities for improvement and develop solutions. The Connected Sheets: Quick Start course can help you become a better Business Analyst by teaching you how to use Google Sheets to analyze large datasets. This course will help you build a foundation in data analysis and modeling, two essential skills for Business Analysts.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring new products to market. The Connected Sheets: Quick Start course can help you become a better Product Manager by teaching you how to use Google Sheets to analyze data. This course will help you understand how to use data to make informed decisions about product development and marketing.
Financial Analyst
Financial Analyst
Financial Analysts use data to make informed investment recommendations. They analyze financial data to identify trends, patterns, and insights. The Connected Sheets: Quick Start course can help you become a better Financial Analyst by teaching you how to use Google Sheets to analyze large datasets. This course will help you build a foundation in data analysis, a critical skill for Financial Analysts.
Project Manager
Project Manager
Project Managers are responsible for planning, executing, and closing projects. They work with stakeholders to define project goals, develop project plans, and track project progress. The Connected Sheets: Quick Start course can help you become a better Project Manager by teaching you how to use Google Sheets to track project data. This course will help you improve your project management skills and become more organized.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with stakeholders to define software requirements and develop software solutions. The Connected Sheets: Quick Start course may be useful for Software Engineers who want to learn how to use Google Sheets to analyze data. This course will provide a basic understanding of data analysis techniques and how to use Google Sheets to perform these techniques.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data systems. They work with data scientists and other stakeholders to ensure that data is available and accessible for analysis. The Connected Sheets: Quick Start course may be useful for Data Engineers who want to learn how to use Google Sheets to analyze large datasets. This course will provide a basic understanding of data analysis techniques and how to use Google Sheets to perform these techniques.
Data Scientist
Data Scientist
Data Scientists use data to solve problems and make predictions. They develop and use machine learning models to analyze data and make predictions. The Connected Sheets: Quick Start course may be useful for Data Scientists who want to learn how to use Google Sheets to analyze large datasets. This course will provide a basic understanding of data analysis techniques and how to use Google Sheets to perform these techniques.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain machine learning models. They work with data scientists and other stakeholders to ensure that machine learning models are accurate and reliable. The Connected Sheets: Quick Start course may be useful for Machine Learning Engineers who want to learn how to use Google Sheets to analyze large datasets. This course will provide a basic understanding of data analysis techniques and how to use Google Sheets to perform these techniques.
For more career information including salaries, visit:
OpenCourser.com/course/lgcsdh/connected
Reading list
We've selected 14 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
Connected Sheets: Qwik Start.
Explores advanced Google Sheets techniques for business analysts. It covers topics like data analysis, forecasting, and optimization. It's a helpful resource for business analysts who want to leverage Google Sheets for complex data analysis tasks.
Save
Covers the business applications of Google Sheets and includes sections on data sharing, collaboration, and managing large datasets. It offers valuable insights for using Connected Sheets in a business context.
Save
While Connected Sheets aims to simplify data analysis without requiring SQL knowledge, this book can provide a solid foundation for those interested in exploring the underlying principles. It covers SQL concepts and techniques for data retrieval and manipulation. It is useful as a background reference.
Provides a hands-on approach to using Google Sheets for data analysis. It covers essential functions, formulas, and techniques for working with large datasets.
Provides a broader perspective on big data. It covers the key concepts, technologies, and best practices for managing and analyzing large datasets.
Provides a business-oriented perspective on data science. It covers the key concepts and techniques for using data to solve business problems.
Save
Provides a comprehensive overview of data visualization techniques and best practices. It covers various types of charts, graphs, and maps. It's a useful resource for creating effective data visualizations to present findings from Connected Sheets analysis.
Focuses on the principles and techniques of data visualization. It provides guidance on creating effective visualizations that communicate insights clearly.
Offers a collection of dashboard examples and best practices. It showcases how to design and build effective dashboards to communicate data insights. It complements the course by providing inspiration and guidance on presenting data visually.
Focuses on data analysis using the Pandas library in Python. It covers data manipulation, cleaning, and visualization techniques. While it's not directly related to Connected Sheets, it provides valuable insights into data analysis concepts and practices.
Offers an introduction to machine learning concepts and algorithms. It covers supervised and unsupervised learning techniques. While it's not directly relevant to Connected Sheets, it can provide a foundation for future exploration into data science and machine learning.
Teaches the basics of Google Apps Script, a scripting language used to extend Google Workspace applications. It covers creating scripts, handling events, and integrating with other services. It's useful for users who want to automate tasks or enhance the functionality of Connected Sheets.
Offers a comprehensive introduction to Python for data analysis. It covers data structures, libraries, and tools for data manipulation, visualization, and statistical modeling. While it's not essential for Connected Sheets, it provides a solid foundation for those interested in exploring Python-based data analysis.
Provides a practical guide to data visualization principles and techniques. It covers data storytelling, visual perception, and the use of software tools. It complements the course by offering additional insights into the art and science of data visualization.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/lgcsdh/connected
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Effort
1 hour
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Provides a quick introduction to Connected Sheets, making it suitable for beginners
Offers hands-on experience with connecting a BigQuery dataset to Google Sheets, enhancing practical skills
Suitable for individuals looking to analyze large datasets without prior knowledge of SQL, expanding their analytical capabilities
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