Muskan B
Mitglied seit 2019
Silver League
5400 Punkte
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
Prädiktive Datenanalyse in BigQuery durchführen
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
Data Warehouse mit BigQuery erstellen
Earned Jun 16, 2022 EDT
Qwiklabs Trivia May 2022
Earned Mai 24, 2022 EDT
Google Workspace for IT Administrators
Earned Apr 20, 2022 EDT
Cloud Load Balancing in der Compute Engine implementieren
Earned Apr 19, 2022 EDT
Qwiklabs Trivia Game
Earned Apr 5, 2022 EDT
Grundlegende Sicherheitsfunktionen in Google Cloud implementieren
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 Mär 16, 2022 EDT
Tipoff! Sports data analysis with GCP
Earned Mär 14, 2022 EDT
Womens Day: 2022
Earned Mär 8, 2022 EST
Learn to Earn Cloud Security Challenge: Level 1
Earned Jan 27, 2022 EST
Google Cloud – Grundlagen
Earned Okt 19, 2019 EDT
Referenz – Big Data, Machine Learning und KI
Earned Okt 19, 2019 EDT
Baseline: Deploy & Develop
Earned Okt 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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Mit dem Skill-Logo zum Fortgeschrittenen-Kurs Prädiktive Datenanalyse in BigQuery durchführen weisen Sie Kenntnisse in folgenden Bereichen nach: Datasets in BigQuery erstellen durch Importieren von CSV- und JSON-Dateien; Leistungsfähigkeit von BigQuery mit ausgefeilten SQL-Analysekonzepten nutzen, einschließlich BigQuery ML zum Trainieren eines Modells für Torvorhersagen auf Grundlage von Fußballereignisdaten und zum Bewerten der Besonderheit von WM-Toren.
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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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Mit dem Skill-Logo zum Kurs Data Warehouse mit BigQuery erstellen weisen Sie fortgeschrittene Kenntnisse in folgenden Bereichen nach: Daten zusammenführen, um neue Tabellen zu erstellen, Probleme mit Joins lösen, Daten mit Unions anhängen, nach Daten partitionierte Tabellen erstellen und JSON, Arrays sowie Strukturen in BigQuery nutzen.
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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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Mit dem Skill-Logo zum Kurs Cloud Load Balancing in der Compute Engine implementieren weisen Sie Kenntnisse in folgenden Bereichen nach: virtuelle Maschinen in der Compute Engine erstellen und bereitstellen und Netzwerk- und Application Load Balancer konfigurieren.
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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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Mit dem Skill-Logo zum Kurs Grundlegende Sicherheitsfunktionen in Google Cloud implementieren weisen Sie fortgeschrittene Kenntnisse in folgenden Bereichen nach: Erstellen und Zuweisen von Rollen mit Identity and Access Management (IAM); Erstellen und Verwalten von Dienstkonten; Herstellen einer privaten Verbindung zwischen Virtual Private Cloud-Netzwerken (VPC); Beschränken des Anwendungszugriffs mithilfe von Identity-Aware Proxy; Verwalten von Schlüsseln und verschlüsselten Daten mit Cloud Key Management Service (KMS); und Erstellen eines privaten Kubernetes-Clusters.
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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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In diesem Einführungskurs erhalten Sie praktische Fertigkeiten im Umgang mit den grundlegenden Tools und Services der Google Cloud. Ihnen werden optionale Videos bereitgestellt, in denen Sie sich weitergehend über die in den Labs behandelten Konzepte informieren können, so oft Sie möchten. „Google Cloud – Grundlagen“ ist ein empfohlener erster Kurs für Google Cloud-Lernende. Selbst wenn Sie vor diesem Kurs wenig bis gar nichts über die Cloud gewusst haben, verfügen Sie danach über praktische Erfahrungen, die Sie in Ihrem ersten Google Cloud-Projekt anwenden können. Vom Schreiben von Cloud Shell- Befehlen und dem Bereitstellen Ihrer ersten virtuellen Maschine bis hin zum Ausführen von Anwendungen auf Kubernetes Engine oder mit Load-Balancing – Google Cloud – Grundlagen ist eine erstklassige Einführung in die grundlegenden Funktionen der Plattform.
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Big Data, Machine Learning und künstliche Intelligenz sind heutzutage sehr wichtige Themen. Diese Technologiefelder bringen jedoch sehr spezielle Anforderungen mit sich und es ist schwierig, einführende Materialien dafür zu finden. Google Cloud bietet nutzerfreundliche Dienste in diesen Bereichen an, die in diesem Kurs für Einsteiger behandelt werden. Verschaffen Sie sich Einblicke in die Nutzung von Tools wie BigQuery, der Cloud Speech API und Video Intelligence.
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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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