資料敘事的強大力量：如何在 Cloud 以圖表呈現資料
Earned Dec 10, 2025 EST
綜合應用：為 Cloud 資料分析師工作做準備
Earned Dec 10, 2025 EST
Google Cloud 資料分析功能簡介
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 資料分析簡介
Earned Dec 30, 2024 EST
在 BigQuery 使用 Gemini 模型
Earned Dec 28, 2024 EST
透過 Gemini in BigQuery 提升工作效率
Earned Dec 25, 2024 EST
在 Looker 應用進階 LookML 概念
Earned Dec 25, 2024 EST
Looker 資料模型管理
Earned Dec 25, 2024 EST
運用 BigQuery ML 建立機器學習模型
Earned Dec 25, 2024 EST
從 BigQuery 資料取得深入分析結果
Earned Dec 25, 2024 EST
BigQuery for Data Analysts
Earned Dec 24, 2024 EST
為 Looker 資訊主頁和報表準備資料
Earned Dec 23, 2024 EST
Introduction to Data Analytics in Google Cloud
Earned Oct 27, 2024 EDT
生成式 AI 簡介
Earned Apr 15, 2024 EDT
這是 Google Cloud 資料分析專業證書五堂課程中的第二堂。本課程將帶您瞭解資料的結構化和組織方式。您將透過實作，瞭解資料湖倉架構和 BigQuery、Google Cloud Storage 與 DataProc 等雲端元件，有效率地儲存、分析及處理大型資料集。
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Google Cloud 資料分析專業證書課程共有五堂課程，這是第三堂。本課程會先簡要說明資料歷程，從最初的資料收集，一直到最後的洞察分析。接著，您將依序學習如何使用 SQL 將原始資料轉換為可用的格式、怎麼透過資料管道轉換大量資料。最後，您將練習如何將轉換策略應用於實際資料集，滿足業務需求。
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這是 Google Cloud Data Analytics 專業證書五堂課程中的第四堂。本課程著重於培養雲端資料圖表製作的技能，共分五個主要階段：敘事、規劃、探索資料、建立圖表，以及與他人分享資料。您還會實際使用 UI/UX 技能，繪製具說服力的雲端原生圖表線框稿，並運用雲端原生資料圖表工具探索資料集、建立報表和資訊主頁，推動決策並促進協作。
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這是 Google Cloud Data Analytics 專業證書五堂課程中的第五堂。在本課程中，您將結合第一到第四堂課程的基礎知識和技能，並活用所學，透過專題實作呈現完整的資料生命週期。您將練習使用雲端式工具，有效率地取得、儲存、處理、分析資料，並以圖表呈現及傳達資料洞察結果。本課程結束後，您將完成一項專案，證明自己精通於有效整理多個來源的資料、向不同相關人士說明解決方案，以及運用雲端式軟體將資料洞察結果以圖表呈現。此外，您還會更新履歷，並練習面試技巧，為應徵和面試做好準備。
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這是 Google Cloud 資料分析專業證書五堂課程中的第一堂。在本課程中，您將瞭解雲端資料分析領域的定義，並說明雲端資料分析師在資料擷取、儲存、處理和視覺化方面的角色與職責。您將瞭解 BigQuery 和 Cloud Storage 等 Google Cloud 工具的架構，以及如何運用這些工具有效組織、呈現及彙整資料。
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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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這堂初級課程將介紹 Google Cloud 的資料分析工作流程，以及用於探索、分析資料並以圖表呈現的工具。您也能學會如何與相關人員分享自己的發現結果。本課程包含個案研究、實作實驗室、講座、測驗和示範，實際展示如何將原始資料集轉化為清晰的資料，進而呈現出能發揮成效的圖表和資訊主頁。無論您是資料領域從業人員、想瞭解如何透過 Google Cloud 取得成功，或有意在職涯中更上一層樓，本課程都能協助您踏出第一步。絕大多數在工作上執行或運用資料分析的學員，都能從本課程受益。
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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這個入門微學習課程主要說明生成式 AI 的定義和使用方式，以及此 AI 與傳統機器學習方法的差異。本課程也會介紹各項 Google 工具，協助您開發自己的生成式 AI 應用程式。
在 Cloud 管理與儲存資料
Earned Dec 10, 2025 EST
在 Cloud 轉換資料
Earned Dec 10, 2025 EST
資料敘事的強大力量：如何在 Cloud 以圖表呈現資料
Earned Dec 10, 2025 EST
綜合應用：為 Cloud 資料分析師工作做準備
Earned Dec 10, 2025 EST
Google Cloud 資料分析功能簡介
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 資料分析簡介
Earned Dec 30, 2024 EST
在 BigQuery 使用 Gemini 模型
Earned Dec 28, 2024 EST
透過 Gemini in BigQuery 提升工作效率
Earned Dec 25, 2024 EST
在 Looker 應用進階 LookML 概念
Earned Dec 25, 2024 EST
Looker 資料模型管理
Earned Dec 25, 2024 EST
運用 BigQuery ML 建立機器學習模型
Earned Dec 25, 2024 EST
從 BigQuery 資料取得深入分析結果
Earned Dec 25, 2024 EST
BigQuery for Data Analysts
Earned Dec 24, 2024 EST
為 Looker 資訊主頁和報表準備資料
Earned Dec 23, 2024 EST
Introduction to Data Analytics in Google Cloud
Earned Oct 27, 2024 EDT
生成式 AI 簡介
Earned Apr 15, 2024 EDT