We may earn an affiliate commission when you visit our partners.
Google Cloud Training
Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences.
“Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
Register for this course and see more details by visiting:
OpenCourser.com/course/prs7l7/innovating
Here's a deal for you
Save money when you learn with a deal that may be relevant to this course.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Get offer
What's inside
Syllabus
Course Introduction
In this introduction, you'll explore the course goals and preview each section.
The Value of Data
In this section of the course, you'll explore the important role that data plays in an organization's digital transformation.
Read more
Syllabus
Course Introduction
In this introduction, you'll explore the course goals and preview each section.
The Value of Data
In this section of the course, you'll explore the important role that data plays in an organization's digital transformation.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Develops a strong foundation in Google Cloud data management and analytics solutions, which are in high demand in the tech industry
Teaches learners how to make data useful and accessible for various business use cases, which can drive innovation and decision-making
Taught by Google Cloud Training, who are recognized experts in cloud technology and data management
Relevant to individuals looking to advance their careers in cloud data management and analytics
Offers hands-on labs and interactive materials, providing learners with practical experience in Google Cloud data management
Requires prior experience with cloud computing concepts and some data analysis knowledge
Save this course
Create your own learning path.
Save this course to your list so you can find it easily later.
Save
Save
Reviews summary
Google cloud data transformation concepts
According to learners, this course offers a strong foundational overview of data transformation concepts within the Google Cloud ecosystem, making it highly relevant for the Cloud Digital Leader certification. Many students praise its clarity for beginners and its focus on the business value of data. However, a significant number of reviews indicate a lack of hands-on labs and a superficial level of technical depth, making it less suitable for experienced engineers seeking practical implementation. Overall, it serves as an excellent conceptual starting point.
Ideal for new learners or those in non-technical management roles.
"Good for absolute beginners, but not for anyone with prior data experience."
"As a beginner, I found the explanations clear and easy to follow."
"It's a perfect stepping stone, not for advanced users."
"It's truly an 'exploration' as the title suggests, suitable for business analysts or project managers."
Highly valuable for preparation for the Cloud Digital Leader exam.
"It’s exactly what I needed for the Cloud Digital Leader certification."
"Excellent foundational course for understanding data's role in the cloud... It's a must-take if you're aiming for the Cloud Digital Leader exam."
"Highly recommended for anyone new to cloud data or looking to get certified as a Cloud Digital Leader."
Delivers a clear, high-level overview of data transformation on GCP.
"Fantastic high-level overview of data transformation on GCP. It’s exactly what I needed..."
"I got a solid understanding of basic data concepts and Google Cloud offerings."
"This course provided a fantastic overview of Google Cloud's data capabilities. It really helped me understand the different services and their use cases from a business perspective."
May be too superficial for experienced data professionals or engineers.
"Disappointed with the lack of technical depth. It really just skims the surface. I was looking for something that would help me with actual implementation, but this course is more about 'what' rather than 'how'."
"Coming from an engineering background, I found this too basic for me."
"For experienced users, it felt like a marketing overview, not technical."
Primarily theoretical; lacks significant hands-on labs or demos.
"My only minor critique is that more real-world use cases or small interactive demos would elevate it."
"This course felt very much like an extended marketing presentation for Google Cloud. While the information is solid, it lacks the practical application that I was hoping for."
"I would have appreciated a few more concrete examples of how these services actually interact or are used in a workflow."
"I did find myself wanting more practical illustrations or guided labs to solidify understanding..."
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 with these
activities:
Learn Linux Basics
Show steps
Review Linux basics to strengthen your foundation in working with cloud technologies.
Browse courses on
Linux
Show steps
-
Review basic Linux commands
-
Practice navigating the Linux file system
-
Learn about user permissions and file management
Review best practices for organizing data
Show steps
Reviewing best practices for organizing data will help you understand the importance of data management and how to apply it to your own projects.
Browse courses on
Data Organization
Show steps
-
Read articles and blog posts about data organization best practices.
-
Watch videos or tutorials on how to organize data in different ways.
-
Practice organizing data in a variety of ways.
Read 'Cloud Computing: Concepts, Technology & Architecture'
Show steps
Read a comprehensive book on cloud computing to gain a deeper understanding of its concepts and technologies.
View
Cloud Computing: Concepts, Technology &...
on Amazon
Show steps
-
Read chapters 1-5 to grasp the fundamentals of cloud computing
-
Review chapters 6-9 to learn about cloud service models and deployment models
-
Read chapters 10-13 to understand cloud security and governance
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Follow a tutorial on using Google Cloud's data management tools
Show steps
Following a tutorial on using Google Cloud's data management tools will help you learn how to use these tools to manage your own data.
Browse courses on
Google Cloud
Show steps
-
Find a tutorial on using Google Cloud's data management tools.
-
Follow the steps in the tutorial.
-
Experiment with the data management tools on your own.
Join a Study Group
Show steps
Connect with peers, discuss course concepts, and enhance your understanding through collaborative learning.
Browse courses on
Collaboration
Show steps
-
Find a study group or create one with classmates
-
Establish regular meeting times and agendas
-
Work together on assignments or projects
Follow Google Cloud Platform Tutorials
Show steps
Work through guided tutorials from Google Cloud Platform to gain hands-on experience with cloud technologies.
Browse courses on
Google Cloud Platform
Show steps
-
Complete the 'Getting Started with Google Cloud' tutorial
-
Follow the 'Building a Serverless Application' tutorial
-
Explore other tutorials relevant to your interests
Attend a Cloud Computing Workshop
Show steps
Enhance your knowledge and network with experts by attending a cloud computing workshop.
Show steps
-
Research and identify relevant workshops
-
Register and attend the workshop
-
Actively participate and ask questions
Create a data management plan
Show steps
Creating a data management plan will help you think through the different aspects of data management and how you will manage your data.
Show steps
-
Identify the goals of your data management plan.
-
Identify the data that you will need to achieve your goals.
-
Determine how you will collect, store, and use your data.
-
Develop a plan for protecting your data.
-
Develop a plan for sharing your data.
Mentor a Junior Developer
Show steps
Reinforce your knowledge and foster your leadership skills by mentoring a junior developer in cloud technologies.
Browse courses on
Mentoring
Show steps
-
Identify a junior developer to mentor
-
Establish regular mentoring sessions
-
Provide guidance on cloud concepts, tools, and best practices
Build a Cloud Data Pipeline
Show steps
Challenge yourself by building a cloud data pipeline to apply your knowledge and develop practical skills.
Browse courses on
Data Pipelines
Show steps
-
Design your data pipeline architecture
-
Configure data sources and destinations
-
Implement data transformations and processing
-
Monitor and test your data pipeline
Participate in a Cloud Hackathon
Show steps
Test your skills and contribute to the cloud community by participating in a cloud hackathon.
Show steps
-
Find and register for a cloud hackathon
-
Form a team or work individually
-
Develop an innovative cloud-based solution
Learn Linux Basics
Show steps
Review Linux basics to strengthen your foundation in working with cloud technologies.
Browse courses on
Linux
Show steps
Show steps
Show steps
- Review basic Linux commands
- Practice navigating the Linux file system
- Learn about user permissions and file management
Review best practices for organizing data
Show steps
Reviewing best practices for organizing data will help you understand the importance of data management and how to apply it to your own projects.
Browse courses on
Data Organization
Show steps
Show steps
Show steps
- Read articles and blog posts about data organization best practices.
- Watch videos or tutorials on how to organize data in different ways.
- Practice organizing data in a variety of ways.
Read 'Cloud Computing: Concepts, Technology & Architecture'
Show steps
Read a comprehensive book on cloud computing to gain a deeper understanding of its concepts and technologies.
View
Cloud Computing: Concepts, Technology &...
on Amazon
Show steps
Show steps
Show steps
- Read chapters 1-5 to grasp the fundamentals of cloud computing
- Review chapters 6-9 to learn about cloud service models and deployment models
- Read chapters 10-13 to understand cloud security and governance
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Follow a tutorial on using Google Cloud's data management tools
Show steps
Following a tutorial on using Google Cloud's data management tools will help you learn how to use these tools to manage your own data.
Browse courses on
Google Cloud
Show steps
Show steps
Show steps
- Find a tutorial on using Google Cloud's data management tools.
- Follow the steps in the tutorial.
- Experiment with the data management tools on your own.
Join a Study Group
Show steps
Connect with peers, discuss course concepts, and enhance your understanding through collaborative learning.
Browse courses on
Collaboration
Show steps
Show steps
Show steps
- Find a study group or create one with classmates
- Establish regular meeting times and agendas
- Work together on assignments or projects
Follow Google Cloud Platform Tutorials
Show steps
Work through guided tutorials from Google Cloud Platform to gain hands-on experience with cloud technologies.
Browse courses on
Google Cloud Platform
Show steps
Show steps
Show steps
- Complete the 'Getting Started with Google Cloud' tutorial
- Follow the 'Building a Serverless Application' tutorial
- Explore other tutorials relevant to your interests
Attend a Cloud Computing Workshop
Show steps
Enhance your knowledge and network with experts by attending a cloud computing workshop.
Show steps
Show steps
Show steps
- Research and identify relevant workshops
- Register and attend the workshop
- Actively participate and ask questions
Create a data management plan
Show steps
Creating a data management plan will help you think through the different aspects of data management and how you will manage your data.
Show steps
Show steps
Show steps
- Identify the goals of your data management plan.
- Identify the data that you will need to achieve your goals.
- Determine how you will collect, store, and use your data.
- Develop a plan for protecting your data.
- Develop a plan for sharing your data.
Mentor a Junior Developer
Show steps
Reinforce your knowledge and foster your leadership skills by mentoring a junior developer in cloud technologies.
Browse courses on
Mentoring
Show steps
Show steps
Show steps
- Identify a junior developer to mentor
- Establish regular mentoring sessions
- Provide guidance on cloud concepts, tools, and best practices
Build a Cloud Data Pipeline
Show steps
Challenge yourself by building a cloud data pipeline to apply your knowledge and develop practical skills.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Design your data pipeline architecture
- Configure data sources and destinations
- Implement data transformations and processing
- Monitor and test your data pipeline
Participate in a Cloud Hackathon
Show steps
Test your skills and contribute to the cloud community by participating in a cloud hackathon.
Show steps
Show steps
Show steps
- Find and register for a cloud hackathon
- Form a team or work individually
- Develop an innovative cloud-based solution
Career center
Learners who complete Exploring Data Transformation with Google Cloud will develop knowledge and skills
that may be useful to these careers:
Business Analyst
Business Analyst
Business Analysts study business problems and find solutions that can be implemented with the help of technology such as Google Cloud. This course helps potential Business Analysts understand how data can play an important role in problem solving in business.
Data Analyst
Data Analyst
Data Analysts collect, process, and analyze data and come up with insights that can help a business. Google Cloud offers a wide range of tools that can help Data Analysts in their day-to-day tasks. Taking this course could be helpful for someone who wants to become a Data Analyst because it provides an introduction to Google Cloud's data management products and solutions.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines and data management systems. This course explores Google Cloud data management products and solutions, which could be useful for aspiring Data Engineers.
Data Scientist
Data Scientist
Data Scientists use data to build models that can be used to make predictions or decisions. Google Cloud provides a range of tools that can help Data Scientists in their work. This course could be helpful for someone who wants to become a Data Scientist because it provides an overview of Google Cloud's data management products and solutions.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers use data to build and train machine learning models. Google Cloud offers a variety of services that can help Machine Learning Engineers in their work. This course provides an introduction to Google Cloud data management products and solutions, which could be helpful for those who want to become Machine Learning Engineers.
Cloud Architect
Cloud Architect
A Cloud Architect may be responsible for designing and deploying Google Cloud solutions that meet a company's specific business needs. This course gives an overview of Google Cloud's data management products and solutions, which could be useful for those who want to become Cloud Architects.
Cloud Engineer
Cloud Engineer
Cloud Engineers deploy, manage, and maintain cloud-based applications and infrastructure. This course provides an overview of Google Cloud data management products and solutions, which could be useful for those who want to become Cloud Engineers.
Data Architect
Data Architect
Data Architects design and maintain data systems to meet the needs of a business. This course could be helpful for aspiring Data Architects because it provides an overview of Google Cloud's data management products and solutions.
Database Administrator
Database Administrator
Database Administrators manage and maintain database systems. Google Cloud offers a variety of database products and services. This course provides an overview of these products and services, which could be helpful for aspiring Database Administrators.
DevOps Engineer
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. This course explores how data management fits into a DevOps environment, which could be helpful for those who want to become DevOps Engineers.
IT Manager
IT Manager
IT Managers oversee the technology systems of an organization. This course provides an overview of Google Cloud data management products and solutions, which could be helpful for IT Managers who are looking to improve their organization's data management capabilities.
Project Manager
Project Manager
Project Managers plan and execute projects. This course provides an overview of Google Cloud data management products and solutions, which could be helpful for Project Managers who are working on projects that involve data.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. This course provides an overview of Google Cloud's data management products and solutions, which could be helpful for Business Intelligence Analysts who are looking to improve their data analysis skills.
Data Governance Specialist
Data Governance Specialist
Data Governance Specialists develop and implement policies and procedures to ensure that data is managed in a consistent and compliant manner. This course provides an overview of Google Cloud's data management products and solutions, which could be helpful for Data Governance Specialists who are looking to improve their data governance practices.
Information Security Analyst
Information Security Analyst
Information Security Analysts protect an organization's data from unauthorized access, use, disclosure, disruption, modification, or destruction. This course provides an overview of Google Cloud's data management products and solutions, which could be helpful for Information Security Analysts who are looking to improve their data security practices.
For more career information including salaries, visit:
OpenCourser.com/course/prs7l7/innovating
Reading list
We've selected seven 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.
Save
Provides a comprehensive overview of deep learning, covering topics such as deep learning architectures, deep learning algorithms, and deep learning applications. It valuable resource for anyone looking to learn the basics of deep learning.
Provides a comprehensive overview of data science, covering topics such as data collection, data analysis, and data visualization. It valuable resource for anyone looking to learn the basics of data science.
Save
Provides a comprehensive overview of data mining, covering topics such as data preprocessing, data mining algorithms, and data mining applications. It valuable resource for anyone looking to learn the basics of data mining.
Provides a comprehensive guide to dimensional modeling, which key technique for designing data warehouses. It valuable resource for anyone looking to learn how to design and build data warehouses.
Provides a tutorial on data analysis with Python, covering topics such as data exploration, data cleaning, and data visualization. It valuable resource for anyone looking to learn how to use Python for data analysis.
Provides a comprehensive overview of data analytics, including data collection, preparation, analysis, and visualization. It valuable resource for anyone looking to gain a better understanding of the field.
Provides a gentle introduction to machine learning, making it accessible to readers with no prior experience in the field. It covers the basics of machine learning, including supervised learning, unsupervised learning, and deep learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/prs7l7/innovating
Share
Similar courses
Similar courses are unavailable at this time. Please try again later.
Effort
1 week of study, 3-4 hours/week
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2025 OpenCourser