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Google Cloud Training
In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps analyze customer data and predict product sales. You also learn how to identify, categorize, and develop new customers using customer data in BigQuery. Using hands-on labs, you experience how Gemini improves data analysis and machine learning workflows.
Duet AI was renamed to Gemini, our next-generation model.
Register for this course and see more details by visiting:
OpenCourser.com/course/0489kj/gemini
What's inside
Syllabus
Gemini for Data Scientists and Analysts
Learn how to analyze data in BigQuery and predict product sales with help from Gemini. identify and categorize new customers using customer data in BigQuery, and generate useful next steps for a marketing campaign.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Covers important industry standard tools for data analysis and machine learning
Includes hands-on labs for practical experience
Teaches up-to-date skills and knowledge related to AI and data analysis
Helps students understand how to use innovative AI tools to analyze data
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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 Gemini for Data Scientists and Analysts with these
activities:
Compile Course Materials
Show steps
Prepare for class by gathering and organizing all relevant materials.
Show steps
-
Review syllabus and identify required materials.
-
Locate and obtain textbooks, workbooks, and other resources.
-
Set up a designated study space and file system for materials.
Attend Industry Webinars or Conferences
Show steps
Expand your knowledge and connect with professionals by attending industry events.
Browse courses on
Networking
Show steps
-
Research upcoming webinars or conferences.
-
Register for the event and mark it on your calendar.
-
Actively participate in discussions and take notes.
Explore Gemini Tutorials
Show steps
Supplement your understanding by following guided tutorials and exercises on Gemini.
Browse courses on
Gemini
Show steps
-
Access the Google Cloud Training tutorials.
-
Follow along with the step-by-step instructions.
-
Complete the hands-on exercises to practice Gemini.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend a Hands-on Workshop on Gemini
Show steps
Deepen your understanding of Gemini by attending a hands-on workshop.
Browse courses on
Gemini
Show steps
-
Identify and register for a relevant workshop.
-
Prepare for the workshop by completing any prerequisites.
-
Attend the workshop and actively participate in exercises.
-
Connect with other attendees and industry experts.
Practice Data Analysis with BigQuery
Show steps
Reinforce your skills by completing practice exercises in BigQuery.
Browse courses on
BigQuery
Show steps
-
Set up a BigQuery sandbox environment.
-
Run SQL queries to analyze sample datasets.
-
Interpret the results and draw insights from the data.
Volunteer at a Data-Driven Organization
Show steps
Gain practical experience and contribute to the community by volunteering at a data-driven organization.
Browse courses on
Data Analysis
Show steps
-
Identify organizations that align with your interests.
-
Contact the organization and inquire about volunteer opportunities.
-
Commit to a regular volunteer schedule.
-
Engage in data-related activities and support the organization's mission.
Develop a Customer Segmentation Model
Show steps
Apply your knowledge by creating a project to identify and categorize new customers.
Browse courses on
Supervised Learning
Show steps
-
Define the project scope and objectives.
-
Gather and prepare customer data from BigQuery.
-
Develop and train a machine learning model using Gemini.
-
Evaluate the model's performance and accuracy.
-
Present your findings and recommendations.
Create a Data Analysis Presentation
Show steps
Enhance your communication skills by creating a presentation on your data analysis findings.
Browse courses on
Data Visualization
Show steps
-
Summarize your analysis and findings.
-
Create data visualizations to illustrate your insights.
-
Develop a clear and concise narrative.
-
Practice delivering your presentation.
-
Share your presentation with peers or a wider audience.
Compile Course Materials
Show steps
Prepare for class by gathering and organizing all relevant materials.
Show steps
Show steps
Show steps
- Review syllabus and identify required materials.
- Locate and obtain textbooks, workbooks, and other resources.
- Set up a designated study space and file system for materials.
Attend Industry Webinars or Conferences
Show steps
Expand your knowledge and connect with professionals by attending industry events.
Browse courses on
Networking
Show steps
Show steps
Show steps
- Research upcoming webinars or conferences.
- Register for the event and mark it on your calendar.
- Actively participate in discussions and take notes.
Explore Gemini Tutorials
Show steps
Supplement your understanding by following guided tutorials and exercises on Gemini.
Browse courses on
Gemini
Show steps
Show steps
Show steps
- Access the Google Cloud Training tutorials.
- Follow along with the step-by-step instructions.
- Complete the hands-on exercises to practice Gemini.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend a Hands-on Workshop on Gemini
Show steps
Deepen your understanding of Gemini by attending a hands-on workshop.
Browse courses on
Gemini
Show steps
Show steps
Show steps
- Identify and register for a relevant workshop.
- Prepare for the workshop by completing any prerequisites.
- Attend the workshop and actively participate in exercises.
- Connect with other attendees and industry experts.
Practice Data Analysis with BigQuery
Show steps
Reinforce your skills by completing practice exercises in BigQuery.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Set up a BigQuery sandbox environment.
- Run SQL queries to analyze sample datasets.
- Interpret the results and draw insights from the data.
Volunteer at a Data-Driven Organization
Show steps
Gain practical experience and contribute to the community by volunteering at a data-driven organization.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Identify organizations that align with your interests.
- Contact the organization and inquire about volunteer opportunities.
- Commit to a regular volunteer schedule.
- Engage in data-related activities and support the organization's mission.
Develop a Customer Segmentation Model
Show steps
Apply your knowledge by creating a project to identify and categorize new customers.
Browse courses on
Supervised Learning
Show steps
Show steps
Show steps
- Define the project scope and objectives.
- Gather and prepare customer data from BigQuery.
- Develop and train a machine learning model using Gemini.
- Evaluate the model's performance and accuracy.
- Present your findings and recommendations.
Create a Data Analysis Presentation
Show steps
Enhance your communication skills by creating a presentation on your data analysis findings.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Summarize your analysis and findings.
- Create data visualizations to illustrate your insights.
- Develop a clear and concise narrative.
- Practice delivering your presentation.
- Share your presentation with peers or a wider audience.
Career center
Learners who complete Gemini for Data Scientists and Analysts will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/0489kj/gemini
Reading list
We haven't picked any books for this reading list yet.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/0489kj/gemini
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Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Session
August 12, 2024
- August 26, 2024
Language
English
Good to know
Covers important industry standard tools for data analysis and machine learning
Includes hands-on labs for practical experience
Teaches up-to-date skills and knowledge related to AI and data analysis
Helps students understand how to use innovative AI tools to analyze data
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