Analyze Customer Reviews with Gemini Using SQL
This is a self-paced lab that takes place in the Google Cloud console. Learn how to use BigQuery Machine Learning with remote models (Gemini) to analyze customer reviews using SQL.
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Activities
Volunteer with an organization that uses BigQuery Machine Learning
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Gain practical experience while contributing to a cause you care about by volunteering with an organization that utilizes BigQuery Machine Learning. This will provide real-world exposure and an opportunity to apply your skills.
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Volunteering
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Participate in projects or initiatives that involve BigQuery Machine Learning
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Identify organizations that align with your interests and use BigQuery Machine Learning
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Contact the organizations to inquire about volunteer opportunities
Follow a tutorial on using BigQuery Machine Learning with SQL
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Enhance your understanding of BigQuery Machine Learning by following a guided tutorial that demonstrates its practical application using SQL.
Browse courses on
BigQuery Machine Learning
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Find a tutorial that aligns with your learning objectives
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Follow the steps and instructions provided in the tutorial
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Experiment with different SQL queries to analyze customer reviews
Create a presentation on the applications of BigQuery Machine Learning
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Showcase your understanding of BigQuery Machine Learning by creating a presentation that highlights its various applications and benefits. This will provide a structured and visual way to reinforce your learning.
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Presentation
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Research and gather information on BigQuery Machine Learning
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Design and create a visually appealing presentation
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Present your findings to an audience
One other activity
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Mentor a peer in understanding SQL and BigQuery Machine Learning
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Develop your leadership and communication skills by mentoring a peer who seeks guidance in SQL and BigQuery Machine Learning. This will reinforce your own understanding while assisting others in their learning journey.
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Mentoring
Show steps
-
Identify a peer who needs support in SQL or BigQuery Machine Learning
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Provide guidance and support through regular sessions
-
Share resources and materials to facilitate their learning
Volunteer with an organization that uses BigQuery Machine Learning
Show steps
Gain practical experience while contributing to a cause you care about by volunteering with an organization that utilizes BigQuery Machine Learning. This will provide real-world exposure and an opportunity to apply your skills.
Browse courses on
Volunteering
Show steps
- Participate in projects or initiatives that involve BigQuery Machine Learning
- Identify organizations that align with your interests and use BigQuery Machine Learning
- Contact the organizations to inquire about volunteer opportunities
Follow a tutorial on using BigQuery Machine Learning with SQL
Show steps
Enhance your understanding of BigQuery Machine Learning by following a guided tutorial that demonstrates its practical application using SQL.
Browse courses on
BigQuery Machine Learning
Show steps
- Find a tutorial that aligns with your learning objectives
- Follow the steps and instructions provided in the tutorial
- Experiment with different SQL queries to analyze customer reviews
Create a presentation on the applications of BigQuery Machine Learning
Show steps
Showcase your understanding of BigQuery Machine Learning by creating a presentation that highlights its various applications and benefits. This will provide a structured and visual way to reinforce your learning.
Browse courses on
Presentation
Show steps
- Research and gather information on BigQuery Machine Learning
- Design and create a visually appealing presentation
- Present your findings to an audience
Mentor a peer in understanding SQL and BigQuery Machine Learning
Show steps
Develop your leadership and communication skills by mentoring a peer who seeks guidance in SQL and BigQuery Machine Learning. This will reinforce your own understanding while assisting others in their learning journey.
Browse courses on
Mentoring
Show steps
- Identify a peer who needs support in SQL or BigQuery Machine Learning
- Provide guidance and support through regular sessions
- Share resources and materials to facilitate their learning
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