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Data science and machine learning are increasingly becoming
critical to businesses of all sizes, and the cloud provides a
powerful platform for these applications. Google Cloud Platform
(GCP) offers a range of data science services that can be used to
store, process, and analyze large datasets, as well as train and
deploy machine learning models. This book provides a comprehensive
guide to learning GCP for data science, using only the free tier
services offered by the platform. The book is organized into seven
chapters covering various topics such as GCP account setup, Google
Colaboratory, Big Data and Machine Learning, Data Visualization and
Business Intelligence, Data Processing and Transformation, Data
Analytics and Storage, and Advanced Topics. Each chapter provides
step-by-step instructions and examples that illustrate how to use
GCP services for data science and big data projects. Readers will
learn how to set up a Google Colaboratory account and run Jupyter
notebooks, access GCP services, and data from Colaboratory, use
BigQuery for data analytics, and deploy machine learning models
using Vertex AI. The book also covers how to visualize data using
Looker Data Studio, run data processing pipelines using Google
Cloud Dataflow and Dataprep, and store data using Google Cloud
Storage and SQL. What you Will Learn How to set up a GCP account
and project BigQuery and its use cases, including machine learning
Google Cloud AI Platform and its capabilities How to use Vertex AI
for training and deploying machine learning models Google Cloud
Dataproc and its use cases for big data processing How to create
and share data visualizations and reports with Looker Data Studio
Google Cloud Dataflow and its use cases for batch and stream data
processing Running data processing pipelines on Cloud Dataflow
Google Cloud Storage and its use cases for data storage An
introduction to Google Cloud SQL and its use cases for relational
databases An introduction to Google Cloud Pub/Sub and its use cases
for real-time data streaming Who This Book Is for: A practical
guide designed for data scientists, machine learning engineers, and
analysts who want to learn how to use Google Cloud Platform (GCP)
for their data science and big data projects.
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