Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning

This book is a comprehensive guide for developers who want to apply statistical and machine learning methods to real-world problems using the Google Cloud Platform (GCP).

With this hands-on guide, you'll learn how to build an end-to-end data pipeline by implementing various data science approaches.

You'll discover how GCP provides a transformative and more collaborative way of doing data science.

The book covers topics such as automating data ingest, creating dashboards in Google Data Studio, building real-time analysis pipelines, conducting interactive data exploration with BigQuery, and much more.

By the end of the book, you'll have a deep understanding of how to use GCP to solve complex data problems and create high-performing prediction models.

Don't miss out on this opportunity to revolutionize your approach to data science!