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Data Analytics in Google Cloud Platform Course Overview

Data Analytics in Google Cloud Platform Course Overview

The "Data Analytics in Google Cloud Platform" course is a comprehensive learning path designed to introduce learners to the world of cloud-based data analytics using Google Cloud Platform (GCP). With a focus on the practical application of GCP's services for analyzing vast datasets efficiently, this course provides a deep dive into various tools and platforms available within GCP. Starting with an overview of data analytics in the cloud environment, the course progresses through key aspects of data handling, including ingestion, processing, transformation, and visualization within the GCP ecosystem.

Learners will gain hands-on experience with GCP's core data analytics services such as Cloud Storage, BigQuery, Dataflow, Dataproc, and advanced visualization tools like Data Studio and Looker. The course also compares GCP with other cloud providers, highlighting its unique offerings and advantages. By the end, participants will be equipped with the knowledge to build scalable data analytics pipelines, following best practices that are essential for the Google Cloud Data Analytics Certification. This credential validates their expertise and ability to leverage Google Cloud technology in making data-driven decisions for businesses.

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Target Audience for Data Analytics in Google Cloud Platform

  1. Koenig Solutions' Data Analytics in GCP course is designed for professionals seeking to master cloud-based analytics on Google's platform.


  • Data Analysts
  • Business Intelligence Professionals
  • Data Scientists
  • Cloud Solutions Architects
  • Data Engineers
  • IT professionals with a focus on data analytics solutions
  • Project Managers overseeing data analytics projects
  • Database Administrators looking to expand into cloud services
  • Professionals seeking to switch to a career in cloud data services
  • Technical Managers wanting an overview of GCP's data capabilities
  • Software Developers interested in building data-intensive applications on GCP


Learning Objectives - What you will Learn in this Data Analytics in Google Cloud Platform?

Introduction to the Course's Learning Outcomes

Explore the essentials of Data Analytics in Google Cloud Platform, and learn to build scalable analytics pipelines for insightful data-driven decisions.

Learning Objectives and Outcomes

  • Gain a foundational understanding of data analytics in the cloud and specifically within the Google Cloud Platform ecosystem.
  • Compare Google Cloud's data analytics services with those of other cloud providers to make informed decisions about platform selection.
  • Master the process of data ingestion using GCP's Cloud Storage and BigQuery services.
  • Develop skills to create, deploy, and manage data processing pipelines using Dataflow and Dataproc.
  • Acquire knowledge of data transformation techniques using Cloud Dataprep and Cloud Functions, including data cleaning and preparation.
  • Learn to visualize and interpret data by creating dashboards in Data Studio and Looker, enhancing the ability to communicate data insights effectively.
  • Understand how to build, design, and implement a scalable end-to-end data analytics pipeline on GCP.
  • Adopt best practices for deploying robust and efficient data analytics pipelines in a cloud environment.
  • Develop the ability to leverage GCP's analytics tools to extract, process, transform, and analyze large datasets.
  • Prepare to apply these skills in real-world scenarios, enabling data-driven decision-making and strategic planning in business contexts.

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