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Google Cloud Training
La technologie cloud est une grande source de valeur pour les entreprises. En combinant le potentiel de cette technologie avec celui des données, il est possible de créer encore plus de valeur et d'offrir de nouvelles expériences client. "Exploring Data Transformation with Google Cloud" vous fait découvrir la valeur que les données peuvent apporter à une entreprise et les façons dont Google Cloud peut les rendre utiles et accessibles. Ce cours fait partie du parcours de formation Cloud Digital Leader. Il a pour but d'aider les participants à évoluer dans leur poste et à façonner l'avenir de leur entreprise.
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OpenCourser.com/course/3b53rp/innovating
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What's inside
Syllabus
Présentation du cours
Vous allez découvrir les objectifs du cours et chaque section sera présentée.
La valeur des données
Dans cette section du cours, vous découvrirez le rôle essentiel des données dans la transformation numérique d'une entreprise.
Read more
Syllabus
Présentation du cours
Vous allez découvrir les objectifs du cours et chaque section sera présentée.
La valeur des données
Dans cette section du cours, vous découvrirez le rôle essentiel des données dans la transformation numérique d'une entreprise.
Read more
Solutions de gestion des données Google Cloud
Dans cette section du cours, vous découvrirez les produits et solutions de gestion des données de Google Cloud, et leur utilité dans différents cas d'utilisation commerciale.
Rendre les données utiles et accessibles
Dans cette section du cours, vous verrez comment les analyses intelligentes, les outils d'informatique décisionnelle et l'analyse de flux peuvent créer de la valeur pour différents cas d'utilisation commerciale.
Résumé du cours
Le cours se termine par un récapitulatif des principaux points abordés dans chaque section et une présentation des étapes à suivre pour continuer votre apprentissage.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
La technologie cloud est une grande source de valeur pour les entreprises
Les solutions de gestion des données Google Cloud sont utiles dans différents cas d'utilisation commerciale
Les analyses intelligentes, les outils d'informatique décisionnelle et l'analyse de flux peuvent créer de la valeur pour différents cas d'utilisation commerciale
Ce cours fait partie du parcours de formation Cloud Digital Leader
Save this course
Save Exploring Data Transformation with Google Cloud - Français to your list so you can find it easily later:
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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 Exploring Data Transformation with Google Cloud - Français with these
activities:
Review Data Visualization Techniques
Show steps
Sharpen your data visualization skills to effectively communicate insights.
Show steps
-
Review best practices and principles of data visualization.
-
Practice using data visualization tools to create clear and compelling visualizations.
Review Data Fundamentals
Show steps
Reinforce your foundational knowledge of data management concepts and data structures to prepare for this course.
Browse courses on
Data Structures
Show steps
-
Review notes or textbooks on data management concepts.
-
Practice solving problems related to data structures and algorithms.
Attend Study Groups or Discussions
Show steps
Enhance your understanding and retention by participating in study groups or online discussions with peers.
Show steps
-
Join or form a study group with classmates or online community members.
-
Discuss course concepts, share insights, and ask questions.
-
Work together on practice problems or projects.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Explore Data Analytics Techniques
Show steps
Enhance your understanding of data analytics techniques by following guided tutorials.
Browse courses on
Data Analysis
Show steps
-
Identify online tutorials or courses on data analytics techniques.
-
Work through the tutorials, practicing the techniques and concepts.
-
Apply the techniques to analyze sample datasets.
Attend Data Analysis Workshops
Show steps
Expand your knowledge and skills by attending data analysis workshops.
Browse courses on
Big Data Analytics
Show steps
-
Identify relevant workshops offered by industry experts or educational institutions.
-
Register and attend the workshops.
-
Actively participate in the sessions and discussions.
Practice Data Analysis Problems
Show steps
Strengthen your data analysis skills by solving practice problems.
Browse courses on
Data Analysis
Show steps
-
Find online platforms or textbooks with data analysis problems.
-
Solve the problems independently, focusing on data manipulation, visualization, and interpretation.
-
Compare your solutions with provided answers or consult with peers or mentors for feedback.
Contribute to Open-Source Data Analytics Projects
Show steps
Gain practical experience and contribute to the community by participating in open-source data analytics projects.
Browse courses on
Big Data Analytics
Show steps
-
Identify open-source data analytics projects that align with your interests and skills.
-
Review the project's documentation and codebase.
-
Contribute to the project by fixing bugs, implementing new features, or improving documentation.
Develop a Data Analysis Portfolio
Show steps
Showcase your data analysis skills and experience by creating a portfolio of your work.
Show steps
-
Identify and select your best data analysis projects and case studies.
-
Develop clear and concise descriptions of your projects, highlighting your contributions and results.
-
Create a website or online platform to showcase your portfolio.
Develop a Data Analysis Project
Show steps
Apply your knowledge to a real-world data analysis project, demonstrating your ability to extract insights and make data-driven decisions.
Browse courses on
Data-Driven Insights
Show steps
-
Identify a problem or opportunity that can be addressed with data analysis.
-
Gather and explore the relevant data.
-
Analyze the data using appropriate techniques and tools.
-
Draw conclusions and make recommendations based on your analysis.
-
Communicate your findings in a clear and compelling manner.
Review Data Visualization Techniques
Show steps
Sharpen your data visualization skills to effectively communicate insights.
Show steps
Show steps
Show steps
- Review best practices and principles of data visualization.
- Practice using data visualization tools to create clear and compelling visualizations.
Review Data Fundamentals
Show steps
Reinforce your foundational knowledge of data management concepts and data structures to prepare for this course.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Review notes or textbooks on data management concepts.
- Practice solving problems related to data structures and algorithms.
Attend Study Groups or Discussions
Show steps
Enhance your understanding and retention by participating in study groups or online discussions with peers.
Show steps
Show steps
Show steps
- Join or form a study group with classmates or online community members.
- Discuss course concepts, share insights, and ask questions.
- Work together on practice problems or projects.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Explore Data Analytics Techniques
Show steps
Enhance your understanding of data analytics techniques by following guided tutorials.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Identify online tutorials or courses on data analytics techniques.
- Work through the tutorials, practicing the techniques and concepts.
- Apply the techniques to analyze sample datasets.
Attend Data Analysis Workshops
Show steps
Expand your knowledge and skills by attending data analysis workshops.
Browse courses on
Big Data Analytics
Show steps
Show steps
Show steps
- Identify relevant workshops offered by industry experts or educational institutions.
- Register and attend the workshops.
- Actively participate in the sessions and discussions.
Practice Data Analysis Problems
Show steps
Strengthen your data analysis skills by solving practice problems.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find online platforms or textbooks with data analysis problems.
- Solve the problems independently, focusing on data manipulation, visualization, and interpretation.
- Compare your solutions with provided answers or consult with peers or mentors for feedback.
Contribute to Open-Source Data Analytics Projects
Show steps
Gain practical experience and contribute to the community by participating in open-source data analytics projects.
Browse courses on
Big Data Analytics
Show steps
Show steps
Show steps
- Identify open-source data analytics projects that align with your interests and skills.
- Review the project's documentation and codebase.
- Contribute to the project by fixing bugs, implementing new features, or improving documentation.
Develop a Data Analysis Portfolio
Show steps
Showcase your data analysis skills and experience by creating a portfolio of your work.
Show steps
Show steps
Show steps
- Identify and select your best data analysis projects and case studies.
- Develop clear and concise descriptions of your projects, highlighting your contributions and results.
- Create a website or online platform to showcase your portfolio.
Develop a Data Analysis Project
Show steps
Apply your knowledge to a real-world data analysis project, demonstrating your ability to extract insights and make data-driven decisions.
Browse courses on
Data-Driven Insights
Show steps
Show steps
Show steps
- Identify a problem or opportunity that can be addressed with data analysis.
- Gather and explore the relevant data.
- Analyze the data using appropriate techniques and tools.
- Draw conclusions and make recommendations based on your analysis.
- Communicate your findings in a clear and compelling manner.
Career center
Learners who complete Exploring Data Transformation with Google Cloud - Français will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts mine and study computer-based data to solve complex, real-world problems. They find trends, draw conclusions, and recommend solutions to business issues. This course provides a background on the field, its responsibilities, and its day-to-day work. It also provides training on Google Cloud Platform's data management tools and solutions.
Data Engineer
Data Engineer
Data Engineers design, construct, and maintain the infrastructure and processes required to manage an organization's voluminous data. This course provides a foundational understanding of Google Cloud Platform's products for managing, manipulating, and analyzing data.
Business Analyst
Business Analyst
Business Analysts bridge the gap between IT and business stakeholders, helping organizations understand their data and make better decisions. This course provides an introduction to Google Cloud Platform's services for data management and analysis, which can be useful for Business Analysts.
Data Architect
Data Architect
Data Architects design, build, and maintain the systems and infrastructure that manage and process an organization's data. This course may be useful to Data Architects as it provides an introduction to Google Cloud Platform's services for data transformation and management.
Database Administrator
Database Administrator
Database Administrators ensure the performance, reliability, and security of databases. This course provides an introduction to Google Cloud Platform's services for data management, which can be useful for Database Administrators.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve problems in business, industry, and government. This course provides an introduction to Google Cloud Platform's services for data management and analysis, which can be useful for Operations Research Analysts.
Marketing Analyst
Marketing Analyst
Marketing Analysts use data to understand customer behavior, develop marketing campaigns, and measure the effectiveness of marketing efforts. This course provides an introduction to Google Cloud Platform's services for data management and analysis, which can be useful for Marketing Analysts.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to provide insights and make predictions. This course provides an introduction to Google Cloud Platform's services for data management and analysis, which can be useful for Statisticians.
Information Technology Manager
Information Technology Manager
Information Technology Managers plan, implement, and manage information technology systems. This course provides an introduction to Google Cloud Platform's services for data management and analysis, which can be useful for Information Technology Managers.
Financial Analyst
Financial Analyst
Financial Analysts use data to make informed decisions about investments and financial strategies. This course provides an introduction to Google Cloud Platform's services for data management and analysis, which can be useful for Financial Analysts.
Product Manager
Product Manager
Product Managers are responsible for the overall vision, strategy, and execution of a product. They work with engineers, designers, and marketers to bring products to market. This course may be useful to Product Managers as it provides an introduction to Google Cloud Platform's tools for data analysis, which can help them make data-driven decisions.
Cloud Architect
Cloud Architect
Cloud Architects design, build, and manage cloud computing systems. This course provides an introduction to Google Cloud Platform's services for data management and analysis, which can be useful for Cloud Architects.
Data Scientist
Data Scientist
Data Scientists leverage computational techniques and expertise in mathematics and statistics to extract useful insights from data. These insights help organizations better understand their customers, improve their products, and optimize their processes. This course may be useful to people in this role as it provides an introduction to Google Cloud Platform's services for data transformation and management, as well as an overview of the field.
Actuary
Actuary
Actuaries use mathematical and statistical techniques to assess risk and uncertainty. This course provides an introduction to Google Cloud Platform's services for data management and analysis, which can be useful for Actuaries.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course provides an introduction to Google Cloud Platform's services for data management and analysis, which can be useful for Software Engineers.
For more career information including salaries, visit:
OpenCourser.com/course/3b53rp/innovating
Reading list
We've selected ten 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
Exploring Data Transformation with Google Cloud - Français.
Provides a comprehensive introduction to machine learning and its applications in data science. It covers topics such as data preprocessing, model training, model evaluation, and model deployment, and it valuable resource for anyone who wants to learn how to use machine learning for data science tasks.
Provides a comprehensive guide to data engineering with R. It covers topics such as data wrangling, data transformation, data analysis, and data visualization, and it valuable resource for anyone who wants to learn how to use R for data engineering tasks.
Provides a comprehensive overview of Google Cloud Platform and its services. It covers topics such as cloud computing basics, Google Cloud Platform services, and Google Cloud Platform pricing, and it valuable resource for anyone who wants to learn more about Google Cloud Platform.
Provides a practical introduction to data science and its applications in business. It covers topics such as data exploration, data analysis, and machine learning, and it valuable resource for anyone who wants to learn how to use data to make better business decisions.
Provides a comprehensive overview of cloud computing and its benefits for businesses. It covers topics such as cloud infrastructure, cloud services, and cloud security, and it valuable resource for anyone who wants to learn more about cloud computing.
Provides a gentle introduction to machine learning and its applications in various domains. It good starting point for anyone who is new to machine learning and wants to learn the basics.
Provides a comprehensive overview of Google Cloud Platform's big data and machine learning services. It valuable resource for anyone looking to use Google Cloud Platform for big data and machine learning.
Provides a comprehensive overview of Google Cloud Platform's machine learning services. It valuable resource for anyone looking to use Google Cloud Platform for machine learning.
Provides a comprehensive overview of Google Cloud Platform for developers. It valuable resource for anyone who is looking to use Google Cloud Platform for development.
Provides a hands-on approach to using Google Cloud Platform's artificial intelligence services. It valuable resource for anyone who is looking to use Google Cloud Platform for artificial intelligence.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/3b53rp/innovating
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Effort
1 week of study, 3-4 hours/week
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
Français
This course belongs to a
collection
called
Google Cloud Digital Leader in Français. It's comprised of four courses:
- Exploring Data Transformation with Google Cloud - Français (viewing)
- Digital Transformation with Google Cloud - Français
- Infrastructure and Application Modernization with Google Cloud en Français
- Scaling with Google Cloud Operations - Français
Good to know
La technologie cloud est une grande source de valeur pour les entreprises
Les solutions de gestion des données Google Cloud sont utiles dans différents cas d'utilisation commerciale
Les analyses intelligentes, les outils d'informatique décisionnelle et l'analyse de flux peuvent créer de la valeur pour différents cas d'utilisation commerciale
Ce cours fait partie du parcours de formation Cloud Digital Leader
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