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Gemini for Data Scientists and Analysts

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.

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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
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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Reviews summary

Gemini for data analysis in bigquery

According to students, this course offers a highly practical introduction to Gemini for data professionals, emphasizing hands-on labs within BigQuery. Learners appreciate its focus on real-world applications like sales prediction and customer analysis, making it relevant for those looking to leverage generative AI in their data workflows. While it provides a clear understanding of Gemini's capabilities, some found that a foundational understanding of BigQuery or data analytics concepts is beneficial to fully keep pace. The course is seen as a focused guide for specific use cases rather than a comprehensive AI theory course.
Covers specific applications rather than broad theoretical concepts.
"The course is great for its specific use cases like sales prediction."
"Don't expect a deep dive into LLM architecture; it's very applied."
"It's excellent for understanding how Gemini helps with BigQuery tasks, but not a general AI course."
Benefits learners with some prior BigQuery or data analysis background.
"I found it moved quickly; prior BigQuery experience was helpful."
"Beginners might need to brush up on SQL/BigQuery basics first."
"While I found it valuable, a basic understanding of data analytics is beneficial."
Keeps learners updated on cutting-edge generative AI tools.
"It's great to see a course covering Gemini right now."
"This course is highly relevant for anyone in data science today."
"I appreciate learning about the latest AI features from Google Cloud."
Provides valuable practical experience with Google Cloud tools.
"The hands-on labs really solidified my understanding of Gemini."
"I enjoyed the labs in BigQuery; they were very relevant."
"The exercises helped me learn by doing, which is essential for this topic."
Directly apply Gemini to real-world data analysis tasks.
"I could immediately see how to use Gemini in my daily workflow."
"The labs were very helpful for practical understanding."
"This course showed me how to apply generative AI in a business context."

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
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
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
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
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
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
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
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
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.

Career center

Learners who complete Gemini for Data Scientists and Analysts will develop knowledge and skills that may be useful to these careers:

Reading list

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Level
Introductory
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Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Traffic lights
Read about what's good
what should give you pause
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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