uCertify

Data Analytics with Google Cloud Platform

Become a Cloud data expert & master the services of the Google Cloud Data platform. Start your interactive learning today!

(DA-GOOGLECLOUD.AW1) / ISBN : 978-1-64459-636-4
Lessons
Lab
TestPrep
AI Tutor (Add-on)
Get A Free Trial

About This Course

More data, more problems? Say no to every data complexity with cloud computing & Google Cloud Platform (GCP). Unlock the treasure of handling GCP services with this course & master the concepts of cloud computing like an expert.  Embark on a successful career in data analytics with our ‘Data Analytics with Google Cloud Platform’ course. 

Skills You’ll Get

  • Understand cloud computing infrastructure. 
  • Learn about IaaS, PaaS & SaaS. 
  • Explore Cloud Storage, Datastore, Firestore, SQL, BigQuery & Bigtable. 
  • Follow Data Processing and Message with Dataflow and Pub/Sub. 
  • Process Data with Dataproc and Dataprep.
  • Utilize TensorFlow for Linear regression.
  • Analyze Machine learning with GCP.  
  • Interact with Cloud ML API (vision, translate, speech).
Download Course Outline

1

Preface

2

GCP Overview and Architecture

  • Introduction
  • Cloud computing history
  • Infrastructure as a Service (IaaS)
  • Platform as a Service (PaaS)
  • Software as a Service (SaaS)
  • The cloud computing architecture
  • Google Cloud Platform
  • Google Cloud Platform Console
  • Security via IAM
  • Conclusion
  • Questions
3

Google Cloud Platform Storage

  • Cloud Storage
  • Cloud Datastore
  • Cloud Firestore
  • Cloud SQL
  • Cloud Spanner
  • Cloud Bigtable
  • Cloud BigQuery
  • Conclusion
  • Questions
4

Data Processing and Message with Dataflow and Pub/Sub

  • Introduction
  • Cloud Dataflow
  • Cloud Pub/Sub
  • Conclusion
  • Questions
5

Data Processing with Dataproc and Dataprep

  • Introduction
  • Cloud Dataproc
  • Cloud Dataprep
  • Conclusion
  • Questions
6

BigQuery and Data Studio

  • Introduction
  • BigQuery
  • Getting started with Google BigQuery
  • Introduction to partitioned tables
  • Introduction to external data sources
  • Google Data Studio
  • Conclusion
  • Questions
7

Machine Learning with GCP

  • Machine learning and types of machine learning
  • TensorFlow and machine learning
  • Linear regression with TensorFlow
  • The Estimator API
  • Unsupervised machine learning
  • Cloud ML API (vision, translate, speech)
  • Conclusion
  • Questions
8

Sample Use Cases and Example

  • Introduction
  • Setting up a mobile gaming analytics platform - a reference architecture
  • Bulk process using batch pattern
  • Managing and processing logs at scale by leveraging the Cloud Dataflow
  • Product recommendations using machine learning on Compute Engine
  • Conclusion
  • Questions

Any questions?
Check out the FAQs

Want to Learn More? 

Contact Us Now

Google Cloud Data Analytics refers to the ability to handle and utilize Google Cloud Platform (GCP) tools and services to help organizations manage, analyze, and derive inputs from data. Datasets in huge chunks get processed with the flexibility of cloud with GCP. 

Both courses offer skills that complement each other. Where Cloud computing stores and processes data, data analytics extracts insights & inputs from that data. They go hand in hand, especially for an individual aiming to get to the top in the IT sector.

Google Cloud Services (GCP) is a service platform developed to help individuals analyze, store & process data in the cloud. GCP provides machine learning tools to help individuals & businesses scale.

Yes, Data Analytics with Google Cloud Platform can help you secure a job because - 

  • High demand - BigQuery, and Dataflow, are in-demand skills. 
  • GCP tools - GCP tools are the next step towards data management. 
  • Machine learning - ML brings forth the current changes in data analysis. 
  • Hands-on labs - Acquire data analytics skills practically with our hands-on labs.  

Related Courses

All Course