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We're here to help you find itData 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.
Successfully delivered 1 sessions for over 1 professionals
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USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with exam & Labs) |
28,359 (INR) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Koenig Solutions' Data Analytics in GCP course is designed for professionals seeking to master cloud-based analytics on Google's platform.
Explore the essentials of Data Analytics in Google Cloud Platform, and learn to build scalable analytics pipelines for insightful data-driven decisions.