Muskan B
成为会员时间：2019
白银联赛
5400 积分
NCAA® March Madness®: Bracketology with Google Cloud
Earned Aug 6, 2022 EDT
Learn to Earn Cloud Challenge: Machine Learning Engineering Skills
Earned Jun 30, 2022 EDT
Learn to Earn Cloud Challenge: Sports Data Analysis Skills
Earned Jun 29, 2022 EDT
在 BigQuery 中执行预测性数据分析
Earned Jun 29, 2022 EDT
Sports Analytics: Pitch Perfect BigQuery
Earned Jun 29, 2022 EDT
Learn to Earn Cloud Data Challenge: Data Analyst Skills
Earned Jun 28, 2022 EDT
Configure your Workplace: Google Workspace for IT Admins
Earned Jun 16, 2022 EDT
使用 BigQuery 构建数据仓库
Earned Jun 16, 2022 EDT
Qwiklabs Trivia May 2022
Earned May 24, 2022 EDT
Google Workspace for IT Administrators
Earned Apr 20, 2022 EDT
为 Compute Engine 实现云负载均衡
Earned Apr 19, 2022 EDT
Qwiklabs Trivia Game
Earned Apr 5, 2022 EDT
在 Google Cloud 上实施云安全基础措施
Earned Apr 3, 2022 EDT
DEPRECATED Explore Machine Learning Models with Explainable AI
Earned Apr 3, 2022 EDT
Palo Alto Networks Cortex XSOAR Game
Earned Mar 16, 2022 EDT
Tipoff! Sports data analysis with GCP
Earned Mar 14, 2022 EDT
Womens Day: 2022
Earned Mar 8, 2022 EST
Learn to Earn Cloud Security Challenge: Level 1
Earned Jan 27, 2022 EST
Google Cloud 基础知识
Earned Oct 19, 2019 EDT
基准：数据、机器学习和 AI
Earned Oct 19, 2019 EDT
Baseline: Deploy & Develop
Earned Oct 12, 2019 EDT
In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.
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These labs help you get started with the skills you need to develop and train ML models. At the end of each lab, you’ll have hands-on experience with one or more of Google Cloud’s powerful data tools. Complete this game to earn a badge, and you’ll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
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These labs help you get started with the skills you need to analyze sports-related data. At the end of each lab, you’ll have hands-on experience with one or more of Google Cloud’s powerful data tools. Complete this game to earn a badge, and you’ll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
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完成中级技能徽章课程“在 BigQuery 中执行预测性数据分析”， 展示以下方面的技能：导入 CSV 和 JSON 文件，在 BigQuery 中创建数据集； 利用 BigQuery 的强大功能与精细的 SQL 分析概念，包括使用 BigQuery ML，根据足球比赛数据 来训练一个进球数预测模型，并评估世界杯进球的观赏性。
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In this introductory level Quest you will gain practical experience on the fundamentals of sports data science using BigQuery. Start your journey by creating a soccer dataset in BigQuery by importing CSV and JSON files. Harness the power of BigQuery with sophisticated SQL analytical concepts, including using BigQuery ML to train an expected goals model on the soccer event data and evaluate the impressiveness of World Cup goals.
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Welcome to the Learn to Earn Cloud Data Challenge! These labs help you get started with data analysis skills. At the end of each lab, you’ll have hands-on experience with one or more of Google Cloud’s powerful data tools. Complete this game to earn a badge, and you’ll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
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Earn a skill badge by completing the Configure your Workplace: Google Workspace for IT Admins quest, where you will get try out the Admin role for Workspace and learn to provision Groups, manage applications, security, and manage Meet. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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完成中级技能徽章课程使用 BigQuery 构建数据仓库，展示以下技能： 联接数据以创建新表、排查联接故障、使用并集附加数据、创建日期分区表， 以及在 BigQuery 中使用 JSON、数组和结构体。
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Welcome to Qwiklabs Trivia for May! Each week, we will release a new set of questions to test your knowledge. You will have opportunities to play throughout the month. Build your Data and BigQuery skills and test your knowledge to earn the May badge.
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In this quest, you will gain hands-on experience on several topics in Google Workspace Administration including security, provisioning users and groups, managing applications, and managing Google Meet.
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完成入门级技能徽章课程为 Compute Engine 实现云负载均衡，展示以下方面的技能： 在 Compute Engine 中创建和部署虚拟机 以及配置网络和应用负载均衡器。
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Ready for this week's Trivia? Complete all the labs and add this premium badge to your profile. Get credits worth $25 to continue your cloud learning journey. Hurry and join today as the game closes soon. Access code: 1q-trivia-422.
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完成在 Google Cloud 上实施云安全基础措施技能徽章中级课程， 展示自己在以下方面的技能：使用 Identity and Access Management (IAM) 创建和分配角色； 创建和管理服务账号；跨虚拟私有云 (VPC) 网络实现专用连接； 使用 Identity-Aware Proxy 限制应用访问权限； 使用 Cloud Key Management Service (KMS) 管理密钥和加密数据；创建专用 Kubernetes 集群。
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Earn a skill badge by completing the Explore Machine Learning Models with Explainable AI quest, where you will learn how to do the following using Explainable AI: build and deploy a model to an AI platform for serving (prediction), use the What-If Tool with an image recognition model, identify bias in mortgage data using the What-If Tool, and compare models using the What-If Tool to identify potential bias. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest and the final assessment challenge lab to receive a skill badge that you can share with your network.
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Today’s cyber attacks are outpacing many organizations' defensive capabilities. With threats growing in volume and sophistication, organizations everywhere are being routinely compromised and held hostage by ransomware because they’re not equipped to combat the adversary. Join us for a self-guided hands-on workshop program on how to respond to common ransomware scenarios using instructional labs created by Palo Alto Networks and Google Cloud. These labs illustrate and help you understand the critical steps security operations teams need to take in to investigate and respond to an attack.
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Are you ready for #MarchMadness? (Learn more about this high-intensity competition: bitly of https://medium.com/analyzing-ncaa-college-basketball-with-gcp.) No matter what sport you follow, they all have one thing in common: data. Learn how Google Cloud can help you step your game up, both on and off the court (field, track, pitch, you get the idea…) Complete this badge and win 25$ worth Cloud Skills Boost credits! Access code:- 1q-tipoff-418
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Artificial Intelligence (AI) is the mantra of the modern era. What was once science fiction has now finally become reality. Join this game and complete all the 4 labs as quickly and accurately as possible to score points and earn the badge so you can dedicate it to that one special woman in your life! Complete this badge and win 25$ worth Cloud Skills Boost credits! Access code:- iwd-2022
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These labs help you get started with cloud security basics. At the end of each lab, you'll have hands-on experience with securing your cloud. Complete this game to earn the Level 1 game badge, and you'll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
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在本入门级课程中，您将了解 Google Cloud 的基础工具和服务。此课程提供了可选视频， 旨在帮助您深入了解和回顾实验中涉及的概念。Google Cloud 基础知识是推荐给 Google Cloud 学员的第一门课程 - 即使您几乎没有云相关知识，也能从中获得实践 经验，并将其直接运用于您的首个 Google Cloud 项目。从编写 Cloud Shell 命令和部署您的第一个虚拟机，到在 Kubernetes Engine 上运行应用 或者使用负载均衡，“Google Cloud 基础知识”都是您了解该平台 基本功能的首选入门级课程。
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大数据、机器学习和人工智能是当今计算领域的热门话题， 但这些领域的专业性很强，因而很难找到 入门资料。幸运的是，Google Cloud 在这些领域提供了方便用户使用的服务， 通过本入门级课程，您可以 开始学习使用 BigQuery、Cloud Speech API 和 Video Intelligence 等工具。
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In this introductory-level quest, you will learn the fundamentals of developing and deploying applications on the Google Cloud Platform. You will get hands-on experience with the Google App Engine framework by launching applications written in languages like Python, Ruby, and Java (just to name a few). You will see first-hand how straightforward and powerful GCP application frameworks are, and how easily they integrate with GCP database, data-loss prevention, and security services.
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