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Gemini in Google Sheets
Google Cloud
Google Cloud
Gemini for Google Workspace is an add-on that provides customers with generative AI features in Google Workspace.
Read more
Gemini for Google Workspace is an add-on that provides customers with generative AI features in Google Workspace.
Read more
Gemini for Google Workspace is an add-on that provides customers with generative AI features in Google Workspace.
Gemini for Google Workspace is an add-on that provides customers with generative AI features in Google Workspace. In this mini-course, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Sheets.
Register for this course and see more details by visiting:
OpenCourser.com/course/9br7jv/gemini
What's inside
Syllabus
Gemini in Google Sheets
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Useful for individuals working with Google Sheets
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Activities
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We're preparing activities for
Gemini in Google Sheets.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Gemini in Google Sheets will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts leverage powerful analytical and statistical techniques to extract vital insights from complex data. Completion of the Gemini in Google Sheets mini-course can aid aspiring Data Analysts in developing the skills needed to effectively interpret and manipulate data within Google Sheets, a valuable tool for data analysis. By mastering the techniques covered in this course, individuals can enhance their ability to uncover hidden patterns and trends that drive informed decision-making.
Business Analyst
Business Analyst
Business Analysts play a crucial role in bridging the gap between business stakeholders and technical teams, ensuring that technology aligns with business objectives. The Gemini in Google Sheets mini-course provides foundational knowledge for Business Analysts to effectively utilize Google Sheets for data analysis and visualization. By harnessing the power of Gemini, Business Analysts can gain a deeper understanding of business data, enabling them to make data-driven recommendations that drive business success.
Marketing Analyst
Marketing Analyst
Marketing Analysts are responsible for measuring, analyzing, and interpreting marketing campaign performance to optimize marketing strategies and drive growth. Incorporating the Gemini in Google Sheets mini-course into their skillset can empower Marketing Analysts to leverage Google Sheets' advanced features for data analysis and reporting. The course provides valuable insights into using Gemini to extract meaningful insights from marketing data, enabling Analysts to make informed decisions that maximize campaign effectiveness and ROI.
Financial Analyst
Financial Analyst
Financial Analysts are entrusted with the task of analyzing financial data and providing insights to guide investment decisions and strategic planning. The Gemini in Google Sheets mini-course offers Financial Analysts the opportunity to enhance their understanding of Google Sheets' capabilities for financial modeling and analysis. By mastering the techniques taught in this course, Financial Analysts can develop robust financial models, perform complex calculations, and generate insightful reports that contribute to informed decision-making.
Operations Analyst
Operations Analyst
Operations Analysts are responsible for analyzing and improving business processes to enhance efficiency and productivity. The Gemini in Google Sheets mini-course provides a valuable foundation for Operations Analysts to utilize Google Sheets' capabilities for data analysis and process improvement. By leveraging Gemini's features, Operations Analysts can gain a deeper understanding of operational data, identify bottlenecks, and develop data-driven recommendations that streamline processes and reduce costs.
Market Research Analyst
Market Research Analyst
Market Research Analysts play a vital role in understanding market trends, customer behavior, and industry dynamics to inform business decisions. The Gemini in Google Sheets mini-course can empower Market Research Analysts to leverage Google Sheets' capabilities for data analysis and visualization. By mastering the techniques covered in this course, Market Research Analysts can effectively analyze market data, identify trends, and develop insights that drive informed decision-making and competitive advantage.
Data Scientist
Data Scientist
Data Scientists are highly skilled professionals who extract insights from vast amounts of data using advanced analytical techniques. The Gemini in Google Sheets mini-course provides a valuable introduction to Google Sheets' capabilities for data analysis and manipulation. By completing this course, aspiring Data Scientists can build a foundation in utilizing Google Sheets for exploratory data analysis and visualization, which can complement their broader data science skillset.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts are responsible for gathering, analyzing, and interpreting data to provide insights that drive business decisions. The Gemini in Google Sheets mini-course offers a foundational understanding of Google Sheets' capabilities for data analysis and visualization. By mastering the techniques covered in this course, Business Intelligence Analysts can enhance their ability to transform raw data into actionable insights, supporting informed decision-making and competitive advantage.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. While the Gemini in Google Sheets mini-course is not directly related to software engineering, it may provide foundational knowledge in data analysis and manipulation using Google Sheets. This knowledge can be beneficial for Software Engineers who work on projects involving data integration or analysis.
Product Analyst
Product Analyst
Product Analysts are responsible for understanding customer needs and translating them into product requirements. The Gemini in Google Sheets mini-course provides foundational knowledge of Google Sheets' capabilities for data analysis and visualization. This knowledge can be beneficial for Product Analysts to analyze user data, identify usage patterns, and extract insights that inform product development and improvement.
Project Manager
Project Manager
Project Managers plan, execute, and deliver projects to achieve specific goals. The Gemini in Google Sheets mini-course provides insights into using Google Sheets for project planning, tracking, and reporting. By mastering the techniques covered in this course, Project Managers can enhance their ability to manage project data effectively, monitor progress, and communicate project status to stakeholders.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze data and make investment decisions. The Gemini in Google Sheets mini-course provides foundational knowledge of Google Sheets' capabilities for data analysis and visualization. By completing this course, aspiring Quantitative Analysts can build a foundation in utilizing Google Sheets for data exploration and analysis, which can complement their broader quantitative skillset.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines to ensure the availability and integrity of data for analysis. The Gemini in Google Sheets mini-course provides foundational knowledge of Google Sheets' capabilities for data manipulation and integration. By completing this course, aspiring Data Engineers can build a foundation in utilizing Google Sheets for data preparation and management, which can complement their broader data engineering skillset.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models to solve complex problems. While the Gemini in Google Sheets mini-course is not directly related to machine learning, it may provide foundational knowledge in data analysis and manipulation using Google Sheets. This knowledge can be beneficial for Machine Learning Engineers who work on projects involving data preparation and feature engineering.
Data Architect
Data Architect
Data Architects design and implement data management solutions to meet business needs. The Gemini in Google Sheets mini-course provides foundational knowledge of Google Sheets' capabilities for data modeling and integration. By completing this course, aspiring Data Architects can build a foundation in utilizing Google Sheets for data design and architecture, which can complement their broader data architecture skillset.
For more career information including salaries, visit:
OpenCourser.com/course/9br7jv/gemini
Reading list
We've selected nine 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
Gemini in Google Sheets.
Provides a comprehensive overview of natural language processing (NLP), a subfield of artificial intelligence concerned with giving computers the ability to understand and generate human language. It covers a wide range of topics, from basic concepts to advanced techniques, and valuable resource for anyone interested in learning more about NLP.
Provides a comprehensive overview of speech and language processing, covering topics such as speech recognition, natural language understanding, and speech synthesis. It valuable resource for anyone interested in learning more about these topics.
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Provides a comprehensive overview of deep learning, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It valuable resource for anyone interested in learning more about deep learning.
Provides a comprehensive overview of deep learning, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It valuable resource for anyone interested in learning more about deep learning.
Provides a comprehensive overview of machine learning, covering topics such as supervised learning, unsupervised learning, and reinforcement learning. It valuable resource for anyone interested in learning more about machine learning.
Provides a comprehensive overview of Keras, a popular high-level neural networks API, written in Python. It covers topics such as building and training deep learning models, and valuable resource for anyone interested in using Keras.
Provides a comprehensive overview of deep learning, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It valuable resource for anyone interested in learning more about deep learning.
Provides a comprehensive overview of generative AI, covering topics such as generative adversarial networks, transformers, and diffusion models. It valuable resource for anyone interested in learning more about generative AI.
Provides a comprehensive overview of artificial intelligence, covering topics such as machine learning, natural language processing, and computer vision. It valuable resource for anyone interested in learning more about AI.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/9br7jv/gemini
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