- Reed Courses Certificate of Completion - Free
- Final Exam (included in price)
- Tutor is available to students
Digital certificate - Included
Will be downloadable when all lectures have been completed.
Included in course price
The Codeless Data Engineering in GCP: Beginner to Advanced course consists of eight structured lectures, followed by an assessment, each designed to build understanding progressively from core concepts to applied use cases.
Lecture 1 introduces codeless Data Engineering and its role within modern data ecosystems. Learners explore what data engineering involves, how GCP supports data workflows, and the advantages of codeless approaches.
Lecture 2 focuses on setting up a GCP environment. Learners explore creating a GCP account, navigating the GCP Console, and understanding billing and cost management principles.
Lecture 3 examines data storage and management in GCP. Learners explore Google Cloud Storage, Cloud SQL for relational data, Cloud Bigtable for NoSQL workloads, and Datastore for document-based data.
Lecture 4 focuses on building codeless data pipelines. Learners explore Dataflow concepts, creating pipelines using managed tools, and monitoring and optimising pipeline performance.
Lecture 5 introduces data transformation using Dataprep. Learners explore data cleaning, transformation workflows, and best practices for preparing data without writing code.
Lecture 6 focuses on data warehousing with BigQuery. Learners explore BigQuery fundamentals, loading data, writing SQL queries, and performing advanced analytics.
Lecture 7 examines real-world projects and use cases. Learners explore case studies, hands-on project concepts, and best practices for applying codeless data engineering solutions in real environments.
Lecture 8 covers advanced topics in GCP data engineering. Learners explore data security and compliance concepts, data monitoring and governance, and scaling and performance optimisation strategies.
Certification
Upon successful completion of the Codeless Data Engineering in GCP: Beginner to Advanced course, learners receive a free digital certificate provided by Reed confirming course completion. After obtaining the Reed certificate, learners also receive a provider-issued course completion certificate, subject to verification of the Reed certificate. Learners may additionally choose to order a premium certificate and academic transcript, available in both hardcopy and softcopy formats, based on individual needs, for an additional cost. This course supports academic progression and professional development in Data Engineering and cloud analytics.
This Data Engineering course is suitable for beginners, data analysts, business intelligence professionals, IT support staff, students, and professionals seeking to understand cloud-based data workflows without heavy coding. It is ideal for learners exploring careers in data, analytics, or cloud platforms.
No prior experience in coding or cloud platforms is required. Learners should have a basic to good standard of English, access to the internet, and a computer, tablet, or smartphone. Completion of the assessment is required to successfully finish the Codeless Data Engineering in GCP: Beginner to Advanced course.
This Data Engineering course can support progression into data analyst roles, data engineering support positions, cloud analytics assistance, business intelligence roles, or further academic study in data science, cloud computing, or information systems.
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This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.
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