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Tanya Kuznetsova

成为会员时间:2023

白银联赛

8175 积分
Google Cloud 上的 AI 和机器学习简介 Earned Jun 1, 2024 EDT
Developing Data Models with LookML Earned May 19, 2024 EDT
Analyzing and Visualizing Data in Looker Earned May 11, 2024 EDT
Google Cloud 数据分析功能简介 Earned May 9, 2024 EDT

本课程介绍 Google Cloud 的 AI 和机器学习 (ML) 能力,重点讲解如何开发生成式和预测式 AI 项目。本课程将探讨“数据到 AI”全生命周期中的多种技术、产品和工具,并通过互动练习帮助数据科学家、AI 开发者和机器学习工程师提升专业能力。

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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。

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