Google Cloud-Grundlagen: Kerninfrastruktur
Earned Feb 6, 2024 EST
Preparing for Your Associate Cloud Engineer Journey
Earned Jan 28, 2024 EST
Analyzing and Visualizing Data in Looker
Earned Jan 11, 2024 EST
Applying Advanced LookML Concepts in Looker
Earned Jan 3, 2024 EST
Understanding LookML in Looker
Earned Dez 21, 2023 EST
Daten für Looker-Dashboards und ‑Berichte vorbereiten
Earned Dez 3, 2023 EST
Machine Learning in the Enterprise
Earned Okt 24, 2023 EDT
How Google Does Machine Learning
Earned Okt 13, 2023 EDT
In „Google Cloud-Grundlagen: Kerninfrastruktur“ werden wichtige Konzepte und die Terminologie für die Arbeit mit Google Cloud vorgestellt. In Videos und praxisorientierten Labs werden viele Computing- und Speicherdienste von Google Cloud sowie wichtige Tools für die Ressourcen- und Richtlinienverwaltung präsentiert und miteinander verglichen.
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This course helps you structure your preparation for the Associate Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.
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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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In this course, you will get hands-on experience applying advanced LookML concepts in Looker. You will learn how to use Liquid to customize and create dynamic dimensions and measures, create dynamic SQL derived tables and customized native derived tables, and use extends to modularize your LookML code.
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In this quest, you will get hands-on experience with LookML in Looker. You will learn how to write LookML code to create new dimensions and measures, create derived tables and join them to Explores, filter Explores, and define caching policies in LookML.
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MMit dem Skill-Logo zum Kurs Daten für Looker-Dashboards und ‑Berichte vorbereiten weisen Sie Grundkenntnisse in folgenden Bereichen nach: Filtern, Sortieren und Pivotieren von Daten, Zusammenführen der Ergebnisse von verschiedenen Looker-Explores sowie Verwenden von Funktionen und Operatoren zum Erstellen von Looker-Dashboards und ‑Berichten für Analyse und Visualisierung von Daten. Ein Skill-Logo ist ein exklusives digitales Abzeichen, das von Google Cloud ausgestellt wird und Ihre Kenntnisse über unsere Produkte und Dienste belegt. In diesem Zusammenhang wird auch die Fähigkeit bewertet, wie Sie Ihr Wissen in einer interaktiven praxisnahen Umgebung anwenden. Absolvieren Sie diese Skill-Logo-Aufgabenreihe und die Challenge-Lab-Prüfung, um ein Skill-Logo zu erhalten, das Sie in Ihrem Netzwerk posten können.
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This course takes a real-world approach to the ML Workflow through a case study. An ML team faces several ML business requirements and use cases. The team must understand the tools required for data management and governance and consider the best approach for data preprocessing.
The team is presented with three options to build ML models for two use cases. The course explains why they would use AutoML, BigQuery ML, or custom training to achieve their objectives.
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This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models.
The course discusses the five phases of converting a candidate use case to be driven by machine learning, and why it’s important to not skip them. The course ends with recognizing the biases that ML can amplify and how to recognize them.
Google Cloud-Grundlagen: Kerninfrastruktur
Earned Feb 6, 2024 EST
Preparing for Your Associate Cloud Engineer Journey
Earned Jan 28, 2024 EST
Analyzing and Visualizing Data in Looker
Earned Jan 11, 2024 EST
Applying Advanced LookML Concepts in Looker
Earned Jan 3, 2024 EST
Understanding LookML in Looker
Earned Dez 21, 2023 EST
Daten für Looker-Dashboards und ‑Berichte vorbereiten
Earned Dez 3, 2023 EST
Machine Learning in the Enterprise
Earned Okt 24, 2023 EDT
How Google Does Machine Learning
Earned Okt 13, 2023 EDT