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在 Google Cloud 控制台中运用您的技能

Susana Díaz

成为会员时间：2024

黄金联赛

32593 积分
Looker Studio Essentials Earned Feb 2, 2026 EST
Google Cloud 数据分析功能简介 Earned Dec 10, 2025 EST
云端数据管理和存储 Earned Nov 20, 2025 EST
云端数据转换 Earned Nov 20, 2025 EST
Data Transformation in the Cloud Earned Jun 18, 2025 EDT
Data Management and Storage in the Cloud Earned Jun 4, 2025 EDT
Introduction to Data Analytics in Google Cloud Earned Mar 6, 2025 EST
Understanding LookML in Looker Earned Jan 15, 2025 EST
在 Looker 中管理数据模型 Earned Jan 13, 2025 EST
在 Looker 中构建 LookML 对象 Earned Jan 6, 2025 EST
在 BigQuery 中使用 Gemini 模型 Earned Jan 6, 2025 EST
使用 Gemini in BigQuery 提高效率 Earned Jan 3, 2025 EST
Data Catalog Fundamentals Earned Jan 3, 2025 EST
在 Looker 中应用高级 LookML 概念 Earned Dec 3, 2024 EST
Developing Data Models with LookML Earned Nov 21, 2024 EST
为 Looker 信息中心和报告准备数据 Earned Nov 19, 2024 EST
通过 BigQuery ML 创建机器学习模型 Earned Nov 19, 2024 EST
从 BigQuery 数据中挖掘数据洞见 Earned Nov 5, 2024 EST
Analyzing and Visualizing Data in Looker Earned Oct 29, 2024 EDT
BigQuery for Data Analysts Earned Oct 28, 2024 EDT
Google Cloud 数据分析功能简介 Earned Oct 10, 2024 EDT

This course provides an introduction to Looker Studio’s powerful features for data visualization and reporting. Learn to transform raw data into insightful reports by mastering various visualization options, connecting to diverse data sources, and implementing interactive controls such as filters. Explore data blending techniques to combine information from multiple sources and unlock deeper insights. Through hands-on exercises you'll gain the skills to create compelling, dynamic reports that effectively communicate data-driven stories.

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本课程是 Google Cloud 数据分析认证的第一门课程（共五门）。在本课程中，您将认识云数据分析领域，并了解云数据分析师在数据获取、存储、处理和可视化方面的角色和职责。您将探索 BigQuery 和 Cloud Storage 等基于 Google Cloud 的工具的架构，以及如何使用这些工具有效地设计数据结构，以及展示和报告数据。

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本课程是 Google Cloud 数据分析认证计划的第二门课程（共五门）。在本课程中，您将探索数据的结构形式和组织方式。您将获得数据湖仓一体架构和云组件（如 BigQuery、Google Cloud Storage 和 DataProc）的实操经验，以便高效地存储、分析和处理大型数据集。

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本课程是 Google Cloud 数据分析认证计划的第三门课程（共五门）。在本课程中，您将首先了解从收集数据到获取数据分析洞见的整个数据历程。然后，您将学习如何使用 SQL 将原始数据转换为可用格式。接下来，您将学习如何使用数据流水线转换大量数据。最后，您会获得相关经验，熟悉如何将数据转换策略应用于真实数据集以满足业务需求。

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This is the third of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll begin by getting an overview of the data journey, from collection to insights. You’ll then learn how to use SQL to transform raw data into a usable format. Next, you’ll learn how to transform high volumes of data with a data pipeline. Finally, you’ll gain experience applying transformation strategies to real data sets to solve business needs.

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This is the second of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll explore how data is structured and organized. You’ll gain hands-on experience with the data lakehouse architecture and cloud components like BigQuery, Google Cloud Storage, and DataProc to efficiently store, analyze, and process large datasets.

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This is the first of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll define the field of cloud data analysis and describe roles and responsibilities of a cloud data analyst as they relate to data acquisition, storage, processing, and visualization. You’ll explore the architecture of Google Cloud-based tools, like BigQuery and Cloud Storage, and how they are used to effectively structure, present, and report data.

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In this quest, you will get hands-on experience with LookML in Looker. You will learn how to write LookML code to create new dimensions and measures, create derived tables and join them to Explores, filter Explores, and define caching policies in LookML.

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完成中级技能徽章课程在 Looker 中管理数据 模型，展示以下方面的技能：维护 LookML 项目的健康状况；利用 SQL Runner 进行数据验证；采用 LookML 最佳实践；优化查询和 报告；以及实现永久性派生表和缓存政策。

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完成在 Looker 中构建 LookML 对象入门技能徽章课程，展示以下方面的技能： 构建新的维度、测量、视图和派生表；根据需求设置测量的过滤条件和 类型；更新维度和测量； 构建并优化探索；将视图联接到现有探索；并根据业务需求 决定要创建哪些 LookML 对象。

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本课程展示了如何在 BigQuery 中使用 AI/机器学习模型处理生成式 AI 任务。通过一个涉及客户关系管理的实际应用场景，您将学习到使用 Gemini 模型解决业务问题的工作流程。为了便于理解，本课程还将通过使用 SQL 查询和 Python 笔记本的编码解决方案提供分步指导。

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此课程将探索如何使用 AI 功能套件 Gemini in BigQuery 为“数据到 AI”工作流提供助力。其中涉及到的功能包括数据探索和准备、代码生成和问题排查，以及工作流发现和可视化。此课程包含概念解释、真实使用场景以及实操实验等内容，可帮助数据从业者提升效率并加快流水线开发速度。

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Data Catalog is deprecated and will be discontinued on January 30, 2026. You can still complete this course if you want to. For steps to transition your Data Catalog users, workloads, and content to Dataplex Catalog, see Transition from Data Catalog to Dataplex Catalog (https://cloud.google.com/dataplex/docs/transition-to-dataplex-catalog). Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, understand, and manage all of their data. In this quest you will start small by learning how to search and tag data assets and metadata with Data Catalog. After learning how to build your own tag templates that map to BigQuery table data, you will learn how to build MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors.

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在本课程中，您将获得在 Looker 中应用高级 LookML 概念 的实践经验。您将学习如何使用 Liquid 自定义和创建动态 维度和测量、创建动态 SQL 派生表和自定义原生 派生表，并运用扩展功能来模块化你的 LookML 代码

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This course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.

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完成为 Looker 信息中心和报告准备数据入门级技能徽章课程， 展现您在以下方面的技能：对数据进行过滤、排序和透视；将来自不同 Looker 探索的结果合并； 以及使用函数和运算符构建 Looker 信息中心和报告以用于数据分析和可视化。

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完成中级技能徽章课程通过 BigQuery ML 创建机器学习模型，展示您在以下方面的技能： 使用 BigQuery ML 创建和评估机器学习模型，以执行数据预测。

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完成入门级技能徽章课程“从 BigQuery 数据中挖掘数据洞见”，展示您在以下方面的技能： 编写 SQL 查询、查询公共表、将示例数据加载到 BigQuery 中、 在 BigQuery 中使用查询验证器排查常见的语法错误，以及通过连接到 BigQuery 数据在 Looker Studio 中 创建报告。

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In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.

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This course is designed for data analysts who want to learn about using BigQuery for their data analysis needs. Through a combination of videos, labs, and demos, we cover various topics that discuss how to ingest, transform, and query your data in BigQuery to derive insights that can help in business decision making.

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在本新手级课程中，您将了解 Google Cloud 数据分析工作流，以及可用于探索、分析和直观呈现数据并与相关人员共享发现结果的工具。结合案例研究、实操实验、讲座和测验/演示，本课程展示了如何将原始数据集转化为纯净数据，进而转化为实用的可视化图表和信息中心。无论您是已经在从事数据工作并想了解如何通过 Google Cloud 取得成功，还是在寻求职业发展，都可以借助本课程迈出第一步。几乎所有在工作中执行或使用数据分析的人都可以从本课程中受益。

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