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DA-GOOGLECLOUD.AW1
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!
- 8 Interactive Lessons and 53 topics mapped to the official exam objectives
Intermediate Self-paced · 1 year access
8Interactive Lessons
53Topics
01 / Skills you'll get
What you will be able to do
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No credit card required
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.
- 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).
Course Highlights
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8 Structured Lessons Comprehensive coverage of core course objectives
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1 Year Full Access Self-paced learning accessible anytime on all devices
02 / Lessons & labs
See exactly what you will learn and practice
Lessons
8 Interactive Lessons · 53 topics01 Preface +
02 GCP Overview and Architecture 11 topics +
- 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
03 Google Cloud Platform Storage 9 topics +
- Cloud Storage
- Cloud Datastore
- Cloud Firestore
- Cloud SQL
- Cloud Spanner
- Cloud Bigtable
- Cloud BigQuery
- Conclusion
- Questions
04 Data Processing and Message with Dataflow and Pub/Sub 5 topics +
- Introduction
- Cloud Dataflow
- Cloud Pub/Sub
- Conclusion
- Questions
05 Data Processing with Dataproc and Dataprep 5 topics +
- Introduction
- Cloud Dataproc
- Cloud Dataprep
- Conclusion
- Questions
06 BigQuery and Data Studio 8 topics +
- Introduction
- BigQuery
- Getting started with Google BigQuery
- Introduction to partitioned tables
- Introduction to external data sources
- Google Data Studio
- Conclusion
- Questions
07 Machine Learning with GCP 8 topics +
- 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
08 Sample Use Cases and Example 7 topics +
- 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
03 / FAQs
Questions before you start
What is Google Cloud data analytics?+
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.
Which is better, cloud computing or data analytics?+
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.
What is Google cloud services?+
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.
Can this course help me get a job?+
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.
Keep going
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