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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.

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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.

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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.
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Google Cloud Data Management Solutions
In this section of the course, you'll explore Google Cloud data management products and solutions, and learn how they apply to different business use cases.
Making Data Useful and Accessible
In this section of the course, you'll examine how smart analytics, business intelligence tools, and streaming analytics can add value in different business use cases.
Course Summary
The course closes with a summary of the key points covered in each section and next steps to continue learning.

Good to know

Know what's good
, what to watch for
, 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

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Reviews summary

Essential data transformation course

According to students, this course earns a largely positive rating. Well-structured, engaging assignments, and a clear instructor are mentioned frequently. A thorough introduction to topics including AI and ML is provided as well. Learners say the course is helpful for their career applications and well-delivered.
Provides a strong foundation in data transformation.
"Great course, with great demonstration and explainantion"
"Great overview course clarifying lot of important concepts"
"This course and topic is just what I need in my career"
knowledgeable and clear
"Well structured and articulated"
"Very Well Done, And the speaker was clear and easy to follow"
"The instructor, Barry Schemell's explanations were also insightful and easy to understand!"
The content is interesting and engaging.
"Very educational and easy to navigate"
"Great information! Creative content"
"Amazing course in Google Cloud Data Solutions, where some key concepts are introduced in a intuitive way"
Well-presented with easy-to-follow lectures.
"All lectures are clear and take you step by step"
"This course and topic is just what I need in my career"
"Very good course, easy to follow and clear with the details."

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
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
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'
Read a comprehensive book on cloud computing to gain a deeper understanding of its concepts and technologies.
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
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
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
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
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
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
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
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
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

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 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 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 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 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 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 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.
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.
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.
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.
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.
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.
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.
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.
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 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.

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.
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.
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.

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