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Exploring Data Transformation with Google Cloud
Google Cloud
Google Cloud
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.
Read more
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.
Read more
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.
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/k066fh/exploring
What's inside
Syllabus
Course Introduction
The Value of Data
Google Cloud Data Management Solutions
Making Data Useful and Accessible
Read more
Syllabus
Course Introduction
The Value of Data
Google Cloud Data Management Solutions
Making Data Useful and Accessible
Read more
Course Summary
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Designed for those who want an overview of how cloud technology can be combined with data for business value
Created by one of the world's leading cloud computing vendors
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Save Exploring Data Transformation with Google Cloud 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 with these
activities:
Google Cloud Platform fundamentals
Show steps
Review essential concepts like cloud computing models, service types, and pricing to strengthen your foundation for this course.
Browse courses on
Google Cloud Platform
Show steps
-
Identify key cloud computing concepts like SaaS, PaaS, and IaaS.
-
Explore various Google Cloud services and their functionalities.
-
Understand Google Cloud pricing models and cost optimization strategies.
Data Transformation Study Group
Show steps
Engage with fellow learners by forming a study group to discuss course concepts, share resources, and support each other's learning journey.
Show steps
-
Find other learners who are interested in forming a study group.
-
Establish a regular meeting schedule and format for your sessions.
-
Take turns presenting on different topics related to data transformation.
-
Collaborate on projects or assignments to reinforce your learning.
Data Transformation Challenges
Show steps
Sharpen your data transformation skills by solving coding challenges that involve cleaning, manipulating, and analyzing data.
Browse courses on
Data Manipulation
Show steps
-
Use Python or another programming language to solve data transformation problems.
-
Test your solutions against provided test cases.
-
Review your solutions and identify areas for improvement.
-
Optional: Submit your solutions to an online coding platform for feedback.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Data Management with BigQuery
Show steps
Enhance your knowledge of data management by following guided tutorials on BigQuery's features, such as data ingestion, querying, and analysis.
Browse courses on
BigQuery
Show steps
-
Create a BigQuery dataset and load sample data.
-
Perform data transformations using SQL queries.
-
Visualize data using BigQuery's built-in visualization tools.
Cloud Data Pipeline Design
Show steps
Apply your understanding of data transformation by designing a data pipeline that addresses a specific business problem.
Browse courses on
Data Pipelines
Show steps
-
Define the data sources, transformations, and destination for your pipeline.
-
Choose appropriate Google Cloud services for each stage of the pipeline.
-
Create a detailed diagram or documentation outlining your pipeline design.
Data Transformation Blog Post
Show steps
Consolidate your learning by writing a blog post that shares your insights on data transformation techniques and their applications.
Browse courses on
Data Transformation
Show steps
-
Choose a specific aspect of data transformation to focus on.
-
Research and gather information from reliable sources.
-
Organize your thoughts and outline the key points of your post.
-
Write a clear and engaging blog post that showcases your understanding.
Data Transformation Project
Show steps
Put your knowledge into practice by undertaking a project that involves transforming real-world data and creating insights.
Browse courses on
Capstone Project
Show steps
-
Identify a business problem or opportunity that can be addressed using data transformation.
-
Gather and prepare the necessary data for your project.
-
Apply data transformation techniques to clean, manipulate, and analyze the data.
-
Visualize and interpret your results to identify patterns and insights.
-
Present your findings and recommendations to a target audience.
Google Cloud Platform fundamentals
Show steps
Review essential concepts like cloud computing models, service types, and pricing to strengthen your foundation for this course.
Browse courses on
Google Cloud Platform
Show steps
Show steps
Show steps
- Identify key cloud computing concepts like SaaS, PaaS, and IaaS.
- Explore various Google Cloud services and their functionalities.
- Understand Google Cloud pricing models and cost optimization strategies.
Data Transformation Study Group
Show steps
Engage with fellow learners by forming a study group to discuss course concepts, share resources, and support each other's learning journey.
Show steps
Show steps
Show steps
- Find other learners who are interested in forming a study group.
- Establish a regular meeting schedule and format for your sessions.
- Take turns presenting on different topics related to data transformation.
- Collaborate on projects or assignments to reinforce your learning.
Data Transformation Challenges
Show steps
Sharpen your data transformation skills by solving coding challenges that involve cleaning, manipulating, and analyzing data.
Browse courses on
Data Manipulation
Show steps
Show steps
Show steps
- Use Python or another programming language to solve data transformation problems.
- Test your solutions against provided test cases.
- Review your solutions and identify areas for improvement.
- Optional: Submit your solutions to an online coding platform for feedback.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Data Management with BigQuery
Show steps
Enhance your knowledge of data management by following guided tutorials on BigQuery's features, such as data ingestion, querying, and analysis.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Create a BigQuery dataset and load sample data.
- Perform data transformations using SQL queries.
- Visualize data using BigQuery's built-in visualization tools.
Cloud Data Pipeline Design
Show steps
Apply your understanding of data transformation by designing a data pipeline that addresses a specific business problem.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Define the data sources, transformations, and destination for your pipeline.
- Choose appropriate Google Cloud services for each stage of the pipeline.
- Create a detailed diagram or documentation outlining your pipeline design.
Data Transformation Blog Post
Show steps
Consolidate your learning by writing a blog post that shares your insights on data transformation techniques and their applications.
Browse courses on
Data Transformation
Show steps
Show steps
Show steps
- Choose a specific aspect of data transformation to focus on.
- Research and gather information from reliable sources.
- Organize your thoughts and outline the key points of your post.
- Write a clear and engaging blog post that showcases your understanding.
Data Transformation Project
Show steps
Put your knowledge into practice by undertaking a project that involves transforming real-world data and creating insights.
Browse courses on
Capstone Project
Show steps
Show steps
Show steps
- Identify a business problem or opportunity that can be addressed using data transformation.
- Gather and prepare the necessary data for your project.
- Apply data transformation techniques to clean, manipulate, and analyze the data.
- Visualize and interpret your results to identify patterns and insights.
- Present your findings and recommendations to a target audience.
Career center
Learners who complete Exploring Data Transformation with Google Cloud will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines. They work with data from a variety of sources, including relational databases, NoSQL databases, and cloud storage systems. By completing this course, learners will gain the skills they need to build data pipelines that are reliable, scalable, and performant. This course will also help learners to understand the different types of data management solutions that are available on Google Cloud, and how to use these solutions to make data useful and accessible.
Data Analyst
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data. They use data to identify trends, patterns, and insights that can help businesses make better decisions. This course will help learners to develop the skills they need to be successful Data Analysts. Learners will learn how to use Google Cloud's data management solutions to collect and clean data, and how to use statistical and machine learning techniques to analyze data.
Data Scientist
Data Scientist
A Data Scientist is responsible for developing and deploying machine learning models. They use data to build models that can predict future events, identify fraud, and recommend products. This course will help learners to develop the skills they need to be successful Data Scientists. Learners will learn how to use Google Cloud's machine learning platform to develop and deploy machine learning models.
Cloud Architect
Cloud Architect
A Cloud Architect is responsible for designing and implementing cloud solutions. They work with customers to understand their business needs and identify the best way to use cloud technology to meet those needs. This course will help learners to develop the skills they need to be successful Cloud Architects. Learners will learn about the different cloud computing services that are available on Google Cloud, and how to design and implement cloud solutions that are scalable, reliable, and secure.
Database Administrator
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. They ensure that databases are available, performant, and secure. This course will help learners to develop the skills they need to be successful Database Administrators. Learners will learn about the different types of databases that are available on Google Cloud, and how to manage and maintain databases using Google Cloud's tools and services.
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst is responsible for analyzing data to identify trends and patterns that can help businesses make better decisions. They use data to develop reports, dashboards, and other visualizations that can help stakeholders understand the data and make informed decisions. This course will help learners to develop the skills they need to be successful Business Intelligence Analysts. Learners will learn how to use Google Cloud's data management solutions to collect and clean data, and how to use statistical and machine learning techniques to analyze data.
Data Warehouse Engineer
Data Warehouse Engineer
A Data Warehouse Engineer is responsible for designing and building data warehouses. They work with data from a variety of sources to create a central repository of data that can be used for business intelligence and analytics. This course will help learners to develop the skills they need to be successful Data Warehouse Engineers. Learners will learn about the different types of data warehouses that are available on Google Cloud, and how to design and build data warehouses that are scalable, reliable, and performant.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is responsible for developing and deploying machine learning models. They use data to build models that can predict future events, identify fraud, and recommend products. This course will help learners to develop the skills they need to be successful Machine Learning Engineers. Learners will learn how to use Google Cloud's machine learning platform to develop and deploy machine learning models.
Software Engineer
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. They work with a variety of programming languages and technologies to create software that meets the needs of users. This course will help learners to develop the skills they need to be successful Software Engineers. Learners will learn about the different programming languages and technologies that are used in cloud computing, and how to design and develop software applications that are scalable, reliable, and secure.
IT Manager
IT Manager
An IT Manager is responsible for planning, implementing, and managing an organization's IT infrastructure. They work with a variety of technologies to ensure that the organization's IT systems are reliable, secure, and efficient. This course will help learners to develop the skills they need to be successful IT Managers. Learners will learn about the different technologies that are used in cloud computing, and how to plan, implement, and manage an IT infrastructure that is scalable, reliable, and secure.
Project Manager
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. They work with a variety of stakeholders to ensure that projects are completed on time, within budget, and to the required quality. This course will help learners to develop the skills they need to be successful Project Managers. Learners will learn about the different project management methodologies that are used in cloud computing, and how to plan, execute, and close projects that are successful.
Business Analyst
Business Analyst
A Business Analyst is responsible for analyzing business processes and identifying opportunities for improvement. They work with stakeholders to gather requirements, develop solutions, and implement changes. This course will help learners to develop the skills they need to be successful Business Analysts. Learners will learn about the different business analysis techniques that are used in cloud computing, and how to analyze business processes and identify opportunities for improvement.
Data Administrator
Data Administrator
A Data Administrator is responsible for managing and maintaining data. They work with a variety of databases and data management tools to ensure that data is accurate, consistent, and secure. This course will help learners to develop the skills they need to be successful Data Administrators. Learners will learn about the different types of databases that are available on Google Cloud, and how to manage and maintain data using Google Cloud's tools and services.
Systems Analyst
Systems Analyst
A Systems Analyst is responsible for analyzing and designing computer systems. They work with users to gather requirements, develop solutions, and implement changes. This course will help learners to develop the skills they need to be successful Systems Analysts. Learners will learn about the different systems analysis techniques that are used in cloud computing, and how to analyze and design computer systems that are scalable, reliable, and secure.
Database Developer
Database Developer
A Database Developer is responsible for designing and developing databases. They work with a variety of databases and data management tools to create databases that meet the needs of users. This course will help learners to develop the skills they need to be successful Database Developers. Learners will learn about the different types of databases that are available on Google Cloud, and how to design and develop databases that are scalable, reliable, and secure.
For more career information including salaries, visit:
OpenCourser.com/course/k066fh/exploring
Reading list
We've selected eight 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 practical introduction to deep learning for coders, offering hands-on examples and best practices using the Fastai and PyTorch frameworks.
Explores the practical applications of data science in business settings, providing insights into how data can drive decision-making and improve outcomes.
Provides a comprehensive overview of data management concepts and best practices, making it a valuable resource for beginners looking to gain foundational knowledge.
Save
Examines the implications of artificial intelligence for human society, exploring its potential impact on work, ethics, and the future of humanity.
Introduces the concepts and techniques of interpretable machine learning, providing guidance on how to make machine learning models more transparent and understandable.
Explores the broader implications of the fourth industrial revolution, examining how technology is transforming various aspects of society and the economy.
Save
Explores the technological trends that are likely to shape the future world, offering insights into their potential impact on various aspects of life.
Save
Presents a speculative look into the future of humanity, discussing the potential impact of technology, artificial intelligence, and other factors on human society.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/k066fh/exploring
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Time
3300 hours
Level
Introductory
Via
Pluralsight
Instructor
Google Cloud
Language
English
Good to know
Designed for those who want an overview of how cloud technology can be combined with data for business value
Created by one of the world's leading cloud computing vendors
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