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Gemini for Data Scientists and Analysts - Français

Google Cloud Training

Dans ce cours, vous découvrirez comment Gemini, un outil de collaboration Google Cloud optimisé par l'IA générative, aide à analyser les données client et à prédire les ventes de produits. Vous apprendrez également à identifier, classer et développer de nouveaux clients à l'aide des données client dans BigQuery. À l'aide d'ateliers pratiques, vous verrez en quoi Gemini améliore les workflows d'analyse de données et de machine learning.

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Dans ce cours, vous découvrirez comment Gemini, un outil de collaboration Google Cloud optimisé par l'IA générative, aide à analyser les données client et à prédire les ventes de produits. Vous apprendrez également à identifier, classer et développer de nouveaux clients à l'aide des données client dans BigQuery. À l'aide d'ateliers pratiques, vous verrez en quoi Gemini améliore les workflows d'analyse de données et de machine learning.

Duet AI a été rebaptisé Gemini, notre modèle nouvelle génération.

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What's inside

Syllabus

Gemini pour les scientifiques et analystes de données
Découvrez comment analyser les données dans BigQuery et prédire les ventes de produits avec l'aide de Gemini. Identifiez et classez les nouveaux clients à l'aide des données client dans BigQuery, et générez les prochaines étapes de votre campagne marketing.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Cible les professionnels de l'analyse et de la science des données, leur permettant d'améliorer leurs connaissances et compétences dans leurs domaines respectifs
Explore l'utilisation de Gemini, un outil d'analyse optimisé par l'IA, pour optimiser les processus de travail et accroître l'efficacité
Fournit des exemples pratiques et des études de cas pertinents pour illustrer les concepts et les applications couverts dans le cours
Peut nécessiter des connaissances préalables en analyse de données et en science des données pour suivre efficacement le cours

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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 - Français with these activities:
Refresh SQL and Python skills
Reinforces SQL and Python skills for data analysis and preparation for the course.
Browse courses on SQL
Show steps
  • Review SQL syntax and commands
  • Practice querying data using SQL
  • Review Python programming fundamentals
  • Practice writing Python scripts for data analysis
Explore BigQuery tutorials
Provides hands-on experience with BigQuery, the data warehouse used in the course.
Browse courses on BigQuery
Show steps
  • Follow the BigQuery Quickstart guide
  • Complete the BigQuery tutorial for beginners
  • Explore the BigQuery documentation
Join a study group
Facilitates collaboration, discussion, and peer support for better understanding and retention.
Show steps
  • Find or create a study group with classmates
  • Meet regularly to discuss course topics
  • Collaborate on assignments and projects
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Participate in online discussion forums
Engaging in discussions will allow you to share knowledge, get feedback, and connect with other learners.
Show steps
  • Join online forums or discussion boards related to Gemini or data analysis
  • Participate in discussions, ask questions, and share your insights
Become a mentor for other students
Strengthens understanding by explaining concepts and assisting peers.
Show steps
  • Join a forum or online community
  • Offer help to students with questions or challenges
  • Provide guidance and support
Develop a customer segmentation model
Creating a segmentation model will showcase your ability to apply Gemini's capabilities to real-world scenarios.
Browse courses on Customer Segmentation
Show steps
  • Gather customer data from BigQuery
  • Use Gemini to analyze and segment the data
  • Develop a customer segmentation model
  • Present your findings and insights
Build a data dashboard using Gemini
Applies Gemini's data visualization and analysis capabilities to create a practical deliverable.
Browse courses on Gemini
Show steps
  • Gather and prepare data for visualization
  • Use Gemini to create interactive charts and graphs
  • Design a dashboard layout and organize visualizations
  • Publish and share the data dashboard
Write a blog post or article about using Gemini
Reinforces understanding by summarizing and communicating Gemini's capabilities.
Browse courses on Gemini
Show steps
  • Choose a topic related to Gemini and its applications
  • Research and gather information
  • Write a clear and engaging blog post or article
  • Publish and promote the content
Participate in a hackathon or competition
Provides a challenging environment to apply Gemini and course concepts to real-world problems.
Browse courses on Data Analysis
Show steps
  • Identify a hackathon or competition related to data analysis or machine learning
  • Form a team or work individually
  • Develop a solution using Gemini and other relevant technologies
  • Submit the solution and present the results
Contribute to the Gemini open source project
Enhances understanding of Gemini's architecture, functionality, and development process.
Browse courses on Gemini
Show steps
  • Review the Gemini documentation and codebase
  • Identify an area for contribution
  • Implement changes or fix issues
  • Submit a pull request to the Gemini repository

Career center

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

Reading list

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Course image
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Session
August 19, 2024 - September 2, 2024
Language
Français
Good to know
Cible les professionnels de l'analyse et de la science des données, leur permettant d'améliorer leurs connaissances et compétences dans leurs domaines respectifs
Explore l'utilisation de Gemini, un outil d'analyse optimisé par l'IA, pour optimiser les processus de travail et accroître l'efficacité
Fournit des exemples pratiques et des études de cas pertinents pour illustrer les concepts et les applications couverts dans le cours
Peut nécessiter des connaissances préalables en analyse de données et en science des données pour suivre efficacement le cours
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