Put It All Together: Prepare for a Cloud Data Analyst Job
Earned Feb 22, 2025 EST
The Power of Storytelling: How to Visualize Data in the Cloud
Earned Feb 22, 2025 EST
Data Transformation in the Cloud
Earned Feb 21, 2025 EST
Data Management and Storage in the Cloud
Earned Jan 5, 2025 EST
Developing Data Models with LookML
Earned Jan 1, 2025 EST
Analyzing and Visualizing Data in Looker
Earned Jan 1, 2025 EST
Google Cloud 数据分析功能简介
Earned Dec 30, 2024 EST
在 BigQuery 中使用 Gemini 模型
Earned Dec 28, 2024 EST
使用 Gemini in BigQuery 提高效率
Earned Dec 25, 2024 EST
在 Looker 中应用高级 LookML 概念
Earned Dec 25, 2024 EST
在 Looker 中管理数据模型
Earned Dec 25, 2024 EST
通过 BigQuery ML 创建机器学习模型
Earned Dec 25, 2024 EST
从 BigQuery 数据中挖掘数据洞见
Earned Dec 25, 2024 EST
BigQuery for Data Analysts
Earned Dec 24, 2024 EST
为 Looker 信息中心和报告准备数据
Earned Dec 23, 2024 EST
Introduction to Data Analytics in Google Cloud
Earned Oct 27, 2024 EDT
生成式 AI 简介
Earned Apr 15, 2024 EDT
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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本课程是 Google Cloud 数据分析认证计划的第四门课程（共五门课程）。在本课程中，您将重点学习在云端可视化数据的相关技能，其中数据可视化可分为五个关键阶段：讲故事、规划、探索数据、构建可视化图表以及与他人共享数据。您还将获得实操经验，尝试使用 UI（界面）/UX（用户体验）技能来制作线框图，从而设计出有影响力的云原生可视化图表，并使用云原生数据可视化工具来探索数据集、创建报告和构建信息中心，从而推动决策并促进协作。
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本课程是 Google Cloud 数据分析认证计划的第五门课程（共五门）。在本课程中，你将综合运用前 4 门课程所学的基础知识和技能，实操完成一个结业项目，全面探索整个数据生命周期。您将练习使用云端工具来有效地获取、存储、处理、分析、直观呈现数据并传达数据分析洞见。课程结束时，您将完成一个项目，证明您在以下方面的熟练程度：高效地设计数据结构以整理来自多个来源的数据、向不同利益相关方展示解决方案，以及使用云端软件直观呈现数据分析洞见。您还将更新个人简历并练习面试技巧，为求职申请与面试环节做好准备。
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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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This is the fifth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll combine and apply the foundational knowledge and skills from courses 1-4 in a hands-on Capstone project that focuses on the full data lifecycle project. You’ll practice using cloud-based tools to acquire, store, process, analyze, visualize, and communicate data insights effectively. By the end of the course, you’ll have completed a project demonstrating their proficiency in effectively structuring data from multiple sources, presenting solutions to varied stakeholders, and visualizing data insights using cloud-based software. You’ll also update your resume and practice interview techniques to help prepare for applying and interviewing for jobs.
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This is the fourth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll focus on developing skills in the five key stages of visualizing data in the cloud: storytelling, planning, exploring data, building visualizations, and sharing data with others. You’ll also gain experience using UI/UX skills to wireframe impactful, cloud-native visualizations and work with cloud-native data visualization tools to explore datasets, create reports, and build dashboards that drive decisions and foster collaboration.
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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 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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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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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。
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.
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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这是一节入门级微课程，旨在解释什么是生成式 AI、它的用途以及与传统机器学习方法的区别。该课程还介绍了可以帮助您开发自己的生成式 AI 应用的各种 Google 工具。
云端数据管理和存储
Earned Dec 10, 2025 EST
云端数据转换
Earned Dec 10, 2025 EST
讲故事的力量：如何在云端可视化数据
Earned Dec 10, 2025 EST
融会贯通：为云数据分析师岗位做好准备
Earned Dec 10, 2025 EST
Google Cloud 数据分析功能简介
Earned Nov 4, 2025 EST
Put It All Together: Prepare for a Cloud Data Analyst Job
Earned Feb 22, 2025 EST
The Power of Storytelling: How to Visualize Data in the Cloud
Earned Feb 22, 2025 EST
Data Transformation in the Cloud
Earned Feb 21, 2025 EST
Data Management and Storage in the Cloud
Earned Jan 5, 2025 EST
Developing Data Models with LookML
Earned Jan 1, 2025 EST
Analyzing and Visualizing Data in Looker
Earned Jan 1, 2025 EST
Google Cloud 数据分析功能简介
Earned Dec 30, 2024 EST
在 BigQuery 中使用 Gemini 模型
Earned Dec 28, 2024 EST
使用 Gemini in BigQuery 提高效率
Earned Dec 25, 2024 EST
在 Looker 中应用高级 LookML 概念
Earned Dec 25, 2024 EST
在 Looker 中管理数据模型
Earned Dec 25, 2024 EST
通过 BigQuery ML 创建机器学习模型
Earned Dec 25, 2024 EST
从 BigQuery 数据中挖掘数据洞见
Earned Dec 25, 2024 EST
BigQuery for Data Analysts
Earned Dec 24, 2024 EST
为 Looker 信息中心和报告准备数据
Earned Dec 23, 2024 EST
Introduction to Data Analytics in Google Cloud
Earned Oct 27, 2024 EDT
生成式 AI 简介
Earned Apr 15, 2024 EDT