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Muhammad Arief Mulyawan

成为会员时间:2024

钻石联赛

16715 积分
Google Cloud 数据分析功能简介 Earned Nov 28, 2025 EST
云端数据管理和存储 Earned Nov 27, 2025 EST
云端数据转换 Earned Nov 25, 2025 EST
讲故事的力量:如何在云端可视化数据 Earned Nov 20, 2025 EST
在 Google 表格中使用函数、公式和图表 Earned Aug 13, 2025 EDT
The Power of Storytelling: How to Visualize Data in the Cloud Earned Jun 30, 2025 EDT
Data Transformation in the Cloud Earned May 2, 2025 EDT
Data Management and Storage in the Cloud Earned Apr 28, 2025 EDT
Introduction to Data Analytics in Google Cloud Earned Apr 26, 2025 EDT

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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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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完成中级技能徽章课程“在 Google 表格中使用函数、公式和图表”, 展现您在以下方面的技能:使用函数分析数据;使用图表直观呈现数据;以及搜索和验证数据、 设置数据格式、显示数据。

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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 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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