Scientific Data Processing
Earned Jul 14, 2021 EDT
DEPRECATED Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications
Earned Jul 14, 2021 EDT
運用 BigQuery ML 建立機器學習模型
Earned Jul 14, 2021 EDT
從 BigQuery 資料取得深入分析結果
Earned Jun 30, 2021 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned Jun 20, 2021 EDT
在 Compute Engine 實作負載平衡功能
Earned Jun 15, 2021 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned Mar 20, 2021 EDT
In this introductory-level course, you get hands-on practice with the Google Cloud’s fundamental tools and services. Optional videos are provided to provide more context and review for the concepts covered in the labs. Google Cloud Essentials is a recommendeded first course for the Google Cloud learner - you can come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first Google Cloud project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features.
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Big data, machine learning, and scientific data? It sounds like the perfect match. In this advanced-level quest, you will get hands-on practice with GCP services like Big Query, Dataproc, and Tensorflow by applying them to use cases that employ real-life, scientific data sets. By getting experience with tasks like earthquake data analysis and satellite image aggregation, Scientific Data Processing will expand your skill set in big data and machine learning so you can start tackling your own problems across a spectrum of scientific disciplines.
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In this course you will learn how to use several BigQuery ML features to improve retail use cases. Predict the demand for bike rentals in NYC with demand forecasting, and see how to use BigQuery ML for a classification task that predicts the likelihood of a website visitor making a purchase.
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完成「運用 BigQuery ML 建立機器學習模型」技能徽章中階課程，即可證明您具備下列技能： 可使用 BigQuery ML 建立及評估機器學習模型，並根據資料進行預測。 「技能徽章」是 Google Cloud 核發的獨家數位徽章， 用於肯定您在 Google Cloud 產品和服務方面的精熟技能， 代表您已通過測驗，能在互動式實作環境中應用相關知識。完成 本課程及結業評量挑戰實驗室，即可取得技能徽章 並與他人分享。
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完成 從 BigQuery 資料取得深入分析結果 技能徽章入門課程，即可證明您具備下列技能： 撰寫 SQL 查詢、查詢公開資料表、將樣本資料載入 BigQuery、使用 BigQuery 的查詢驗證工具 排解常見語法錯誤，以及在 Looker Studio 中 透過連結 BigQuery 資料建立報表。 「技能徽章」是 Google Cloud 核發的獨家數位徽章， 用於肯定您在 Google Cloud 產品和服務方面的精通程度，代表您已通過測驗，能在互動式實作環境中應用相關 知識。完成本技能徽章課程及結業評量挑戰 實驗室，即可取得技能徽章並與他人分享。
了解详情
Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
Google Cloud Essentials
Earned Nov 6, 2021 EDT
Scientific Data Processing
Earned Jul 14, 2021 EDT
DEPRECATED Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications
Earned Jul 14, 2021 EDT
運用 BigQuery ML 建立機器學習模型
Earned Jul 14, 2021 EDT
從 BigQuery 資料取得深入分析結果
Earned Jun 30, 2021 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned Jun 20, 2021 EDT
在 Compute Engine 實作負載平衡功能
Earned Jun 15, 2021 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned Mar 20, 2021 EDT