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NIKHIL ANAND

成为会员时间:2022

钻石联赛

31775 积分
綜合應用:為 Cloud 資料分析師工作做準備 Earned Nov 18, 2025 EST
資料敘事的強大力量:如何在 Cloud 以圖表呈現資料 Earned Nov 18, 2025 EST
在 Cloud 轉換資料 Earned Nov 18, 2025 EST
在 Cloud 管理與儲存資料 Earned Nov 18, 2025 EST
Google Cloud 資料分析功能簡介 Earned Nov 18, 2025 EST
在 Compute Engine 導入 Cloud Load Balancing Earned Sep 21, 2024 EDT
Level 1: Security and Identity Earned Sep 17, 2024 EDT
Put It All Together: Prepare for a Cloud Data Analyst Job Earned Aug 23, 2024 EDT
The Power of Storytelling: How to Visualize Data in the Cloud Earned Aug 23, 2024 EDT
Data Transformation in the Cloud Earned Aug 14, 2024 EDT
The Arcade Trivia August 2024 Week 2 Earned Aug 14, 2024 EDT
Data Management and Storage in the Cloud Earned Aug 8, 2024 EDT
The Arcade Trivia August 2024 Week 1 Earned Aug 6, 2024 EDT
Scaling with Google Cloud Operations Earned Aug 5, 2024 EDT
Trust and Security with Google Cloud Earned Aug 5, 2024 EDT
Modernize Infrastructure and Applications with Google Cloud Earned Aug 5, 2024 EDT
Innovating with Google Cloud Artificial Intelligence Earned Aug 5, 2024 EDT
Exploring Data Transformation with Google Cloud Earned Aug 5, 2024 EDT
Digital Transformation with Google Cloud Earned Aug 5, 2024 EDT
Introduction to Data Analytics in Google Cloud Earned Jul 29, 2024 EDT
在 Google Cloud 儲存、處理與管理資料 - 控制台 Earned Jul 26, 2024 EDT
監控及管理 Google Cloud 資源 Earned Jul 26, 2024 EDT
在 Google Cloud 設定應用程式開發環境 Earned Jul 25, 2024 EDT
管理 Google Cloud 中的 Kubernetes Earned Jul 24, 2024 EDT

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 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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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 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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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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完成「在 Compute Engine 導入 Cloud Load Balancing」技能徽章入門課程,即可證明您具備下列技能: 在 Compute Engine 建立及部署虛擬機器, 以及設定網路和應用程式負載平衡器。

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Earn your newest Google Cloud Credential by gaining Security and Identity on the Google Cloud Platform. Gain hands-on experience in managing authentication, authorization, and identity with Vault, creating dynamic secrets, and implementing core cloud security principles. You'll also learn to deploy fault-tolerant environments, secure data lakes, and enhance network security. Whether you're new to cloud security or seeking to advance your skills, this level is designed to solidify your expertise.

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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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Hey there! You're invited to game on with the Arcade Trivia for August Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the August Trivia Week 2 badge!

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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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Hey there! You're invited to game on with the Arcade Trivia for August Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the August Trivia Week 1 badge!

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Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task. Scaling with Google Cloud Operations explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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As organizations move their data and applications to the cloud, they must address new security challenges. The Trust and Security with Google Cloud course explores the basics of cloud security, the value of Google Cloud's multilayered approach to infrastructure security, and how Google earns and maintains customer trust in the cloud. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. "Modernize Infrastructure and Applications with Google Cloud" explores these challenges and offers solutions to overcome them by using cloud technology. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. “Innovating with Google Cloud Artificial Intelligence” explores how organizations can use AI and ML to transform their business processes. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences. “Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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There's much excitement about cloud technology and digital transformation, but often many unanswered questions. For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin? If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.

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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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Cloud Storage、Cloud Functions 和 Cloud Pub/Sub 都是 Google Cloud Platform 服務, 可用於儲存、處理及管理資料。您可以整合運用這三種服務, 打造各式各樣的資料導向應用程式。在這個技能徽章課程中, 您將使用 Cloud Storage 儲存圖片、透過 Cloud Functions 處理, 並利用 Cloud Pub/Sub 將圖片傳送至其他應用程式。

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完成「監控及管理 Google Cloud 資源」技能徽章入門課程,即可證明您具備下列技能:授予及撤銷 IAM 權限; 安裝 Monitoring 和 Logging 代理程式;建立、部署及測試事件導向的 Cloud Run 函式。

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只要修完「在 Google Cloud 設定應用程式開發環境」課程,就能獲得技能徽章。 在本課程中,您將學會如何使用以下技術的基本功能,建構和連結以儲存空間為中心的雲端基礎架構:Cloud Storage、Identity and Access Management、Cloud Functions 和 Pub/Sub。

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完成「管理 Google Cloud 中的 Kubernetes」技能徽章中階課程, 即可證明您具備下列技能:使用 kubectl 管理部署作業、 在 Google Kubernetes Engine (GKE) 監控應用程式與偵錯,以及運用技術持續推送軟體更新。

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