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Master Data Engineering using GCP Data Analytics
Course Line On Demand

100% Online | 2026 Updated | Cheapest Fees | No Hidden Fees | Free PDF Certificate | 24/7 Support

Summary

Price
£15 inc VAT
Study method
Online, On Demand 
Course format
24 PDFs, 1 Article and 1 Quiz
Duration
1.4 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed Courses Certificate of Completion - Free
Assessment details
  • Final Exam (included in price)
Additional info
  • Tutor is available to students
1 student purchased this course

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Overview

Master Data Engineering using GCP Data Analytics is designed for learners who want to develop a structured understanding of modern data engineering concepts using Google Cloud Platform (GCP). This course introduces data engineering as a discipline focused on building reliable, scalable, and secure data pipelines that support analytics and decision-making.

Learners explore how data is ingested, transformed, stored, orchestrated, and analysed using GCP services. The course explains how batch and streaming data systems operate, how cloud-based data warehouses support analytics, and how data quality, governance, and security are maintained in professional environments.

Throughout the course, emphasis is placed on architectural thinking, best practices, and responsible data handling. Learners gain insight into how data engineering supports business intelligence, reporting, and analytics workflows without focusing on vendor certification exams or operational responsibility for live production systems.

Rather than positioning learners as certified cloud engineers, this course focuses on conceptual mastery, platform familiarity, and applied understanding. It supports learners preparing for junior data engineering roles, analytics support positions, or further study in cloud data systems.

Certificates

Assessment details

Final Exam

Included in course price

Curriculum

This course contains

Format: 24 PDFs, 1 Article and 1 Quiz

Duration: 1h and 25m

Description

The Master Data Engineering using GCP Data Analytics course consists of eight structured lectures, followed by an assessment, each designed to build understanding progressively across the data engineering lifecycle.

Lecture 1 introduces data engineering and GCP. Learners explore the role of data engineering, core concepts, an overview of Google Cloud Platform services, and principles for setting up a GCP environment.

Lecture 2 focuses on data ingestion. Learners explore batch and streaming data concepts, the use of Google Cloud Storage for ingestion, and Cloud Pub/Sub for real-time data streaming.

Lecture 3 examines data transformation. Learners explore Google Dataflow for ETL processes, Apache Beam fundamentals, and approaches to transforming and cleaning data in cloud pipelines.

Lecture 4 focuses on data warehousing. Learners explore BigQuery fundamentals, schema design and optimisation principles, and querying data efficiently for analytics use cases.

Lecture 5 addresses data orchestration. Learners explore Cloud Composer (Apache Airflow), building end-to-end data pipelines, and scheduling and monitoring workflows.

Lecture 6 examines data integration. Learners explore integrating GCP services, connecting to third-party data sources, and handling real-time data integration scenarios.

Lecture 7 focuses on data quality and governance. Learners explore methods for ensuring data quality, governance best practices, and awareness of compliance and security considerations.

Lecture 8 focuses on data analytics and visualisation. Learners explore Google Data Studio, creating dashboards and reports, and analysing real-world GCP data analytics case studies.

Certification

Upon successful completion of the Master Data Engineering using GCP Data Analytics 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 technical learning progression in cloud-based data engineering.

Who is this course for?

This course is suitable for aspiring data engineers, data analysts, BI professionals, software developers transitioning into data roles, IT professionals, and learners interested in cloud-based data systems using GCP.

Requirements

No formal cloud certification or prior GCP experience is required. Learners should have a basic understanding of data concepts, a good standard of English, access to the internet, and a computer capable of accessing cloud platforms. Completion of the assessment is required to successfully finish the course.

Career path

This course can support progression into junior data engineer roles, data analyst positions with engineering exposure, cloud analytics support roles, or further academic and professional study in data engineering, cloud computing, or analytics.

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Legal information

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.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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