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Course Features

Price

Original price was: £490.00.Current price is: £14.99.

Study Method

Online | Self-paced

Course Format

Reading Material - PDF, article

Duration

5 hours, 25 minutes

Qualification

No formal qualification

Certificate

At completion

Additional info

Coming soon

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Codeless Data Engineering in GCP: Beginner to Advanced

Overview

Codeless Data Engineering in GCP: Beginner to Advanced is designed to help learners master the powerful world of cloud-based data engineering using Google Cloud Platform (GCP) — no programming skills required. As organisations rapidly move their data infrastructure to the cloud, the demand for professionals who can design and manage data pipelines using intuitive, no-code tools is soaring.

This course begins by introducing the fundamentals of data engineering and the core services within GCP that support scalable and secure data workflows. Students will gain familiarity with GCP Console, set up their first cloud projects, and learn essential billing and cost optimisation strategies to manage resources efficiently.

In the storage modules, learners will explore GCP’s versatile data management services, including Google Cloud Storage for files and objects, Cloud SQL for structured relational data, Cloud Bigtable for large-scale NoSQL workloads, and Datastore for document-based data handling. Each lesson is crafted to give you a comprehensive understanding of when and how to use these technologies.

The heart of the course lies in building codeless data pipelines using tools like Dataflow and Dataprep. Learners will get hands-on experience in creating robust, automated workflows that move and transform data without writing a single line of code. The course also dives deep into Google BigQuery for powerful data warehousing, teaching you how to load, query, and analyse massive datasets using simple SQL and visual tools.

Beyond technical skills, this course includes real-world case studies and hands-on projects to build your portfolio. Learners will explore advanced topics such as data governance, security, and scaling architecture for enterprise-level performance. By the end, you will not only understand the technical workflows but also how to apply best practices in real-world business environments.

Whether you're a beginner with no cloud experience or a professional aiming to modernise your data skills, this course delivers a complete journey through codeless data engineering on one of the world’s leading cloud platforms.

This course is perfect for beginners, data analysts, business intelligence professionals, and IT staff who want to break into data engineering without a programming background. It’s also great for project managers and decision-makers seeking a practical understanding of GCP’s no-code capabilities.
Learners should have basic computer literacy and an interest in data or cloud technology. No prior coding experience or GCP background is required. Access to a Google account is recommended for practical, hands-on exercises.
Completing this course opens doors to roles such as Data Analyst, Data Engineer, Business Intelligence Specialist, Cloud Data Architect, and GCP Administrator. It also provides a strong foundation for those looking to earn GCP certifications or transition into cloud-based data roles.

Who is this course for?

Codeless Data Engineering in GCP: Beginner to Advanced is designed to help learners master the powerful world of cloud-based data engineering using Google Cloud Platform (GCP) — no programming skills required. As organisations rapidly move their data infrastructure to the cloud, the demand for professionals who can design and manage data pipelines using intuitive, no-code tools is soaring.

This course begins by introducing the fundamentals of data engineering and the core services within GCP that support scalable and secure data workflows. Students will gain familiarity with GCP Console, set up their first cloud projects, and learn essential billing and cost optimisation strategies to manage resources efficiently.

In the storage modules, learners will explore GCP’s versatile data management services, including Google Cloud Storage for files and objects, Cloud SQL for structured relational data, Cloud Bigtable for large-scale NoSQL workloads, and Datastore for document-based data handling. Each lesson is crafted to give you a comprehensive understanding of when and how to use these technologies.

The heart of the course lies in building codeless data pipelines using tools like Dataflow and Dataprep. Learners will get hands-on experience in creating robust, automated workflows that move and transform data without writing a single line of code. The course also dives deep into Google BigQuery for powerful data warehousing, teaching you how to load, query, and analyse massive datasets using simple SQL and visual tools.

Beyond technical skills, this course includes real-world case studies and hands-on projects to build your portfolio. Learners will explore advanced topics such as data governance, security, and scaling architecture for enterprise-level performance. By the end, you will not only understand the technical workflows but also how to apply best practices in real-world business environments.

Whether you're a beginner with no cloud experience or a professional aiming to modernise your data skills, this course delivers a complete journey through codeless data engineering on one of the world’s leading cloud platforms.

This course is perfect for beginners, data analysts, business intelligence professionals, and IT staff who want to break into data engineering without a programming background. It’s also great for project managers and decision-makers seeking a practical understanding of GCP’s no-code capabilities.
Learners should have basic computer literacy and an interest in data or cloud technology. No prior coding experience or GCP background is required. Access to a Google account is recommended for practical, hands-on exercises.
Completing this course opens doors to roles such as Data Analyst, Data Engineer, Business Intelligence Specialist, Cloud Data Architect, and GCP Administrator. It also provides a strong foundation for those looking to earn GCP certifications or transition into cloud-based data roles.

Requirements

Codeless Data Engineering in GCP: Beginner to Advanced is designed to help learners master the powerful world of cloud-based data engineering using Google Cloud Platform (GCP) — no programming skills required. As organisations rapidly move their data infrastructure to the cloud, the demand for professionals who can design and manage data pipelines using intuitive, no-code tools is soaring.

This course begins by introducing the fundamentals of data engineering and the core services within GCP that support scalable and secure data workflows. Students will gain familiarity with GCP Console, set up their first cloud projects, and learn essential billing and cost optimisation strategies to manage resources efficiently.

In the storage modules, learners will explore GCP’s versatile data management services, including Google Cloud Storage for files and objects, Cloud SQL for structured relational data, Cloud Bigtable for large-scale NoSQL workloads, and Datastore for document-based data handling. Each lesson is crafted to give you a comprehensive understanding of when and how to use these technologies.

The heart of the course lies in building codeless data pipelines using tools like Dataflow and Dataprep. Learners will get hands-on experience in creating robust, automated workflows that move and transform data without writing a single line of code. The course also dives deep into Google BigQuery for powerful data warehousing, teaching you how to load, query, and analyse massive datasets using simple SQL and visual tools.

Beyond technical skills, this course includes real-world case studies and hands-on projects to build your portfolio. Learners will explore advanced topics such as data governance, security, and scaling architecture for enterprise-level performance. By the end, you will not only understand the technical workflows but also how to apply best practices in real-world business environments.

Whether you're a beginner with no cloud experience or a professional aiming to modernise your data skills, this course delivers a complete journey through codeless data engineering on one of the world’s leading cloud platforms.

This course is perfect for beginners, data analysts, business intelligence professionals, and IT staff who want to break into data engineering without a programming background. It’s also great for project managers and decision-makers seeking a practical understanding of GCP’s no-code capabilities.
Learners should have basic computer literacy and an interest in data or cloud technology. No prior coding experience or GCP background is required. Access to a Google account is recommended for practical, hands-on exercises.
Completing this course opens doors to roles such as Data Analyst, Data Engineer, Business Intelligence Specialist, Cloud Data Architect, and GCP Administrator. It also provides a strong foundation for those looking to earn GCP certifications or transition into cloud-based data roles.

Career path

Codeless Data Engineering in GCP: Beginner to Advanced is designed to help learners master the powerful world of cloud-based data engineering using Google Cloud Platform (GCP) — no programming skills required. As organisations rapidly move their data infrastructure to the cloud, the demand for professionals who can design and manage data pipelines using intuitive, no-code tools is soaring.

This course begins by introducing the fundamentals of data engineering and the core services within GCP that support scalable and secure data workflows. Students will gain familiarity with GCP Console, set up their first cloud projects, and learn essential billing and cost optimisation strategies to manage resources efficiently.

In the storage modules, learners will explore GCP’s versatile data management services, including Google Cloud Storage for files and objects, Cloud SQL for structured relational data, Cloud Bigtable for large-scale NoSQL workloads, and Datastore for document-based data handling. Each lesson is crafted to give you a comprehensive understanding of when and how to use these technologies.

The heart of the course lies in building codeless data pipelines using tools like Dataflow and Dataprep. Learners will get hands-on experience in creating robust, automated workflows that move and transform data without writing a single line of code. The course also dives deep into Google BigQuery for powerful data warehousing, teaching you how to load, query, and analyse massive datasets using simple SQL and visual tools.

Beyond technical skills, this course includes real-world case studies and hands-on projects to build your portfolio. Learners will explore advanced topics such as data governance, security, and scaling architecture for enterprise-level performance. By the end, you will not only understand the technical workflows but also how to apply best practices in real-world business environments.

Whether you're a beginner with no cloud experience or a professional aiming to modernise your data skills, this course delivers a complete journey through codeless data engineering on one of the world’s leading cloud platforms.

This course is perfect for beginners, data analysts, business intelligence professionals, and IT staff who want to break into data engineering without a programming background. It’s also great for project managers and decision-makers seeking a practical understanding of GCP’s no-code capabilities.
Learners should have basic computer literacy and an interest in data or cloud technology. No prior coding experience or GCP background is required. Access to a Google account is recommended for practical, hands-on exercises.
Completing this course opens doors to roles such as Data Analyst, Data Engineer, Business Intelligence Specialist, Cloud Data Architect, and GCP Administrator. It also provides a strong foundation for those looking to earn GCP certifications or transition into cloud-based data roles.

    • What is Data Engineering? 00:10:00
    • Overview of Google Cloud Platform (GCP) for Data Engineering 00:10:00
    • Benefits of Codeless Data Engineering 00:10:00
    • Creating a GCP Account 00:10:00
    • GCP Console Overview 00:10:00
    • Billing and Cost Management 00:10:00
    • Google Cloud Storage (GCS) Basics 00:10:00
    • Cloud SQL for Relational Data 00:10:00
    • Cloud Bigtable for NoSQL Data 00:10:00
    • Datastore for Document Data 00:10:00
    • Introduction to Dataflow 00:10:00
    • Creating Data Pipelines with Dataflow 00:10:00
    • Monitoring and Optimization 00:10:00
    • Introduction to Dataprep 00:10:00
    • Data Cleaning and Transformation 00:10:00
    • Dataprep Best Practices 00:10:00
    • Introduction to BigQuery 00:10:00
    • Loading Data into BigQuery 00:10:00
    • Writing SQL Queries in BigQuery 00:10:00
    • Advanced Analytics with BigQuery 00:10:00
    • Case Studies of Codeless Data Engineering in GCP 00:10:00
    • Hands-on Projects 00:10:00
    • Best Practices for Real-world Applications 00:10:00
    • Data Security and Compliance 00:10:00
    • Data Monitoring and Governance 00:10:00
    • Scaling and Performance Optimization 00:10:00
    • Exam of Codeless Data Engineering in GCP: Beginner to Advanced 00:50:00
    • Premium Certificate 00:15:00
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Yes, our premium certificate and transcript are widely recognized and accepted by embassies worldwide, particularly by the UK embassy. This adds credibility to your qualification and enhances its value for professional and academic purposes.

Yes, this course is designed for learners of all levels, including beginners. The content is structured to provide step-by-step guidance, ensuring that even those with no prior experience can follow along and gain valuable knowledge.

Yes, professionals will also benefit from this course. It covers advanced concepts, practical applications, and industry insights that can help enhance existing skills and knowledge. Whether you are looking to refine your expertise or expand your qualifications, this course provides valuable learning.

No, you have lifetime access to the course. Once enrolled, you can revisit the materials at any time as long as the course remains available. Additionally, we regularly update our content to ensure it stays relevant and up to date.

I trust you’re in good health. Your free certificate can be located in the Achievement section. The option to purchase a CPD certificate is available but entirely optional, and you may choose to skip it. Please be aware that it’s crucial to click the “Complete” button to ensure the certificate is generated, as this process is entirely automated.

Yes, the course includes both assessments and assignments. Your final marks will be determined by a combination of 20% from assignments and 80% from assessments. These evaluations are designed to test your understanding and ensure you have grasped the key concepts effectively.

We are a recognized course provider with CPD, UKRLP, and AOHT membership. The logos of these accreditation bodies will be featured on your premium certificate and transcript, ensuring credibility and professional recognition.

Yes, you will receive a free digital certificate automatically once you complete the course. If you would like a premium CPD-accredited certificate, either in digital or physical format, you can upgrade for a small fee.

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Course Features

Price

Original price was: £490.00.Current price is: £14.99.

Study Method

Online | Self-paced

Course Format

Reading Material - PDF, article

Duration

5 hours, 25 minutes

Qualification

No formal qualification

Certificate

At completion

Additional info

Coming soon

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