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Google Cloud Platform for Data Science

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Google Cloud Platform for Data Science
Lowest price (incl. delivery)
63,99 USD
Typical price659,76 PLN
Lowest (90 days)25,19 PLN
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Last updated1 minggu yang lalu
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Price history (90 days)
Full history
2026-08-08 2026-08-15
Riwayat Harga
Diperbarui PadaHarga
2026-08-0827,99
2026-08-1425,19
2026-08-1537,44
Penjual Product price Delivery Total Ketersediaan Updated
SP SpringerNatureLink Shop INT 34,99 USD 29,00 USD 63,99 USD Tersedia 5 hari yang lalu View offer
SP SpringerNatureLink Shop INT 34,99 USD 25,00 USD 59,99 USD Tersedia 5 hari yang lalu View offer
SP SpringerNatureLink Shop INT 34,99 USD 15,00 USD 49,99 USD Tersedia 5 hari yang lalu View offer
SP SpringerNatureLink Shop INT 41,30 EUR 15,00 EUR 56,30 EUR Tersedia 5 hari yang lalu View offer
SP SpringerNatureLink Shop INT 7 149,00 JPY free 7 149,00 JPY Tersedia 4 hari yang lalu View offer
SP Springer Nature Author 7 149,00 JPY 19,00 JPY 7 168,00 JPY Tersedia 1 minggu yang lalu View offer

Harga dan ketersediaan dapat berubah. Terakhir Diperbarui: 08.08.2026 10:41.

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This book is your practical and comprehensive guide to learning Google Cloud Platform (GCP) for data science, using only the free tier services offered by the platform. Data science and machine learning are increasingly becoming critical to businesses of all sizes, and the cloud provides a powerful platform for these applications. GCP offers a range of data science services that can be used to store, process, and analyze large datasets, and train and deploy machine learning models. 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 illustrating 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 Jupyternotebooks, 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 Set up a GCP account and project Explore BigQuery and its use cases, including machine learning Understand Google Cloud AI Platform and its capabilities Use Vertex AI for training and deploying machine learning models Explore Google Cloud Dataproc and its use cases for big data processing Create and share data visualizations and reports with Looker Data Studio Explore Google Cloud Dataflow and its use cases for batch and stream data processing Run data processing pipelines on Cloud Dataflow Explore Google Cloud Storageand its use cases for data storage Get an introduction to Google Cloud SQL and its use cases for relational databases Get an introduction to Google Cloud Pub/Sub and its use cases for real-time data streaming Who This Book Is 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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