Analyzing and Visualizing Data in Looker
Earned Jul 26, 2023 EDT
Understanding LookML in Looker
Earned Jul 20, 2023 EDT
Daten für Looker-Dashboards und ‑Berichte vorbereiten
Earned Jul 17, 2023 EDT
Virtual Agent Development in Dialogflow CX for Software Devs
Earned Jul 6, 2023 EDT
Virtual Agent Development in Dialogflow CX for Citizen Devs
Earned Mai 31, 2023 EDT
Cloud Hero Looker Skills
Earned Feb 22, 2023 EST
Liquid Templates and Parameters
Earned Dez 2, 2022 EST
Daten für die Vorhersagemodellierung mit BigQuery ML vorbereiten
Earned Nov 11, 2022 EST
Data Warehouse mit BigQuery erstellen
Earned Nov 10, 2022 EST
Daten für ML-APIs in Google Cloud vorbereiten
Earned Nov 9, 2022 EST
Cloud Load Balancing in der Compute Engine implementieren
Earned Okt 19, 2022 EDT
Developing Data Models with LookML
Earned Sep 20, 2022 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Sep 16, 2022 EDT
This course provides an introduction to databases and summarized the differences in the main database technologies. This course will also introduce you to Looker and how Looker scales as a modern data platform. In the lessons, you will build and maintain standard Looker data models and establish the foundation necessary to learn Looker's more advanced features.
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This course provides an iterative approach to plan, build, launch, and grow a modern, scalable, mature analytics ecosystem and data culture in an organization that consistently achieves established business outcomes. Users will also learn how to design and build a useful, easy-to-use dashboard in Looker. It assumes experience with everything covered in our Getting Started with Looker and Building Reports in Looker courses.
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In this course, we’ll show you how organizations are aligning their BI strategy to most effectively achieve business outcomes with Looker. We'll follow four iterative steps: Plan, Build, Launch, Grow, and provide resources to take into your own services delivery to build Looker with the goal of achieving business outcomes.
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By the end of this course, you should be able to articulate Looker's value propositions and what makes it different from other analytics tools in the market. You should also be able to explain how Looker works, and explain the standard components of successful service delivery.
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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 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 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.
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Welcome to "Virtual Agent Development in Dialogflow CX for Software Devs", the third course in the "Customer Experiences with Contact Center AI" series. In this course, learn how to develop more customized customer conversational solutions using Contact Center Artificial Intelligence (CCAI). In this course, you'll be introduced to more advanced and customized handling for virtual agent conversations that need to look up and convey dynamic data, and methods available to you for testing your virtual agent and logs which can be useful for understanding issues that arise.
This is an intermediate course, intended for learners with the following type of role:
Software developers: Codes computer software in a programming language (e.g., C++, Python, Javascript) and often using an SDK/API.
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Welcome to "Virtual Agent Development in Dialogflow CX for Citizen Devs", the second course in the "Customer Experiences with Contact Center AI" series.
In this course, learn how to develop customer conversational solutions using Contact Center Artificial Intelligence (CCAI). In this course, you'll be introduced to adding voice (telephony) as a communication channel to your virtual agent conversations using Dialogflow CX.
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Welcome Gamers! Learn fundamentals of Google Cloud's Looker, all while having fun! Looker is a modern data platform in Google Cloud that allows you to analyze and visualize your data interactively. You will compete to see who can finish the game with the highest score. Earn the points by completing the steps in the lab.... and get bonus points for speed! Be sure to click "End" when you're done with each lab to get the maximum points. All players will be awarded the game badge.
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In this course you will discover Liquid, the templating language invented by Shopify and explore how it can be used in Looker to create dynamic links, content, formatting, and more.
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Mit dem Skill-Logo zum Kurs Daten für die Vorhersagemodellierung mit BigQuery ML vorbereiten weisen Sie fortgeschrittene Kenntnisse in folgenden Bereichen nach: Erstellen von Pipelines für die Datentransformation nach BigQuery mithilfe von Dataprep von Trifacta; Extrahieren, Transformieren und Laden (ETL) von Workflows mit Cloud Storage, Dataflow und BigQuery; und Erstellen von Machine-Learning-Modellen mithilfe von BigQuery ML.
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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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Mit dem Skill-Logo zum Kurs Daten für ML-APIs in Google Cloud vorbereiten weisen Sie Grundkenntnisse in folgenden Bereichen nach: Bereinigen von Daten mit Dataprep von Trifacta, Ausführen von Datenpipelines in Dataflow, Erstellen von Clustern und Ausführen von Apache Spark-Jobs in Dataproc sowie Aufrufen von ML-APIs, einschließlich der Cloud Natural Language API, Cloud Speech-to-Text API und Video Intelligence API.
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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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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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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
The Modern Data Platform and LookML
Earned Jan 26, 2024 EST
Driving Data Culture and Designing Dashboards
Earned Aug 9, 2023 EDT
Achieving Business Outcomes with Looker
Earned Aug 7, 2023 EDT
Looker Explained
Earned Jul 31, 2023 EDT
Applying Advanced LookML Concepts in Looker
Earned Jul 27, 2023 EDT
Analyzing and Visualizing Data in Looker
Earned Jul 26, 2023 EDT
Understanding LookML in Looker
Earned Jul 20, 2023 EDT
Daten für Looker-Dashboards und ‑Berichte vorbereiten
Earned Jul 17, 2023 EDT
Virtual Agent Development in Dialogflow CX for Software Devs
Earned Jul 6, 2023 EDT
Virtual Agent Development in Dialogflow CX for Citizen Devs
Earned Mai 31, 2023 EDT
Cloud Hero Looker Skills
Earned Feb 22, 2023 EST
Liquid Templates and Parameters
Earned Dez 2, 2022 EST
Daten für die Vorhersagemodellierung mit BigQuery ML vorbereiten
Earned Nov 11, 2022 EST
Data Warehouse mit BigQuery erstellen
Earned Nov 10, 2022 EST
Daten für ML-APIs in Google Cloud vorbereiten
Earned Nov 9, 2022 EST
Cloud Load Balancing in der Compute Engine implementieren
Earned Okt 19, 2022 EDT
Developing Data Models with LookML
Earned Sep 20, 2022 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Sep 16, 2022 EDT