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Whizlabs

Getting Started with GCP Data Solutions

via Coursera

Overview

Getting Started with GCP Data Solutions is designed to provide learners with a strong foundation in Google Cloud data solutions, covering essential concepts related to cloud infrastructure, data storage, databases, data warehousing, data processing, data lakes, data integration, and monitoring. This course helps learners understand how Google Cloud services can be used to build, manage, and optimize scalable data solutions for modern data workloads.

The course is divided into seven modules, with each module further segmented into lessons and video lectures. The course combines conceptual understanding with practical demonstrations to help learners gain familiarity with core Google Cloud data services and their real-world applications.

Module 1: Getting Started with Google Cloud

Module 2: Cloud Storage for Data Solutions

Module 3: Google Cloud Database Services

Module 4: Data Warehousing with BigQuery

Module 5: Data Processing on Google Cloud

Module 6: Data Lakes and Data Integration

Module 7: Monitoring and Optimizing Data Solutions

By the end of this course, a learner will be able to:

Understand Google Cloud fundamentals, core services, regions, zones, and cloud data solution concepts.

Select appropriate Google Cloud storage and database services based on data and workload requirements.

Use BigQuery and other Google Cloud services to support data warehousing and analytics workloads.

Understand data processing, ETL, data lake, and data integration capabilities on Google Cloud.

Apply monitoring and optimization practices to improve the reliability, performance, and efficiency of cloud data solutions.

This course is intended for learners who want to build foundational knowledge of Google Cloud data solutions and develop an understanding of the services used to store, process, integrate, analyze, and monitor data in Google Cloud environments.

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • Self-paced: start any time.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Whizlabs is in Tier 4: commercial training companies and platform-made courses of our institution ranking (54/100). Exam prep.

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