Developing Data Models with LookML
Earned juil. 27, 2022 EDT
Delivery Shadowing
Earned juil. 25, 2022 EDT
Technology + Beyond the UI
Earned juil. 21, 2022 EDT
Technology + Within the UI
Earned juil. 20, 2022 EDT
Liquid Templates and Parameters
Earned juil. 14, 2022 EDT
Extends to Keep LookML DRY
Earned juil. 13, 2022 EDT
Version Control and Caching
Earned juil. 13, 2022 EDT
Achieving Business Outcomes with Looker
Earned juil. 7, 2022 EDT
Driving Data Culture and Designing Dashboards
Earned juil. 6, 2022 EDT
Building Reports in Looker
Earned juil. 5, 2022 EDT
Admin Roles and Folder Access
Earned juil. 4, 2022 EDT
Build LookML Objects in Looker
Earned juin 30, 2022 EDT
Understanding LookML in Looker
Earned juin 24, 2022 EDT
The Modern Data Platform and LookML
Earned juin 24, 2022 EDT
Préparer les données à utiliser pour les tableaux de bord et rapports Looker
Earned juin 23, 2022 EDT
Table Calculations, Pivots, and Visualizations
Earned juin 21, 2022 EDT
Analyzing and Visualizing Data in Looker
Earned juin 20, 2022 EDT
Looker Explained
Earned juin 17, 2022 EDT
IMPORTANT NOTE: There are only 2 attempts allowed for the knowledge test. If you don't pass you have to wait 14 days before your second and final attempt. Preparation and study are essential. Looker Services Knowledge Test: This comprehensive test validates advanced proficiency in Looker administration and development. Candidates will demonstrate their ability to:
Administer and Maintain Looker Instances: Provision and configure Looker Cloud Core, establish database connections, manage authentication and authorization, analyze performance, and integrate with Google Cloud services.
Develop and Optimize LookML Models: Design and implement complex LookML models, create derived tables, optimize performance, utilize Looker Marketplace blocks, manage Git deployments, and troubleshoot LookML and SQL errors. This advanced certification requires existing badge holders to re-validate their skills on the updated LookML content.
For learners familiar with Looker:
If you're familiar with Looker t…
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This challenge lab tests your LookML expertise in Looker. Successfully complete it to earn a badge and demonstrate your ability to develop and manage LookML models.
Before starting this challenge lab skill badge, please review the following: For learners new to Looker: Proficiency in SQL is a key prerequisite for this LookML lab. Course: Developing Data Models in LookML Course: Analyzing and Visualizing Data in Looker Or the learners can complete the below Learning paths on Looker: BI & Analytics with Looker Looker Business Intelligence
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This challenge lab is designed to test your expertise in administering Looker (Google Cloud core). By completing this lab, you will demonstrate your ability to perform key administrative tasks and earn a badge showcasing your Looker proficiency.
Before starting this challenge lab skill badge, please review the following:
For learners new to Looker: Course: Developing Data Models in LookML Course: Analyzing and Visualizing Data in Looker Or the learners can complete the below Learning paths on Looker: BI & Analytics with Looker Looker Business Intelligence
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Ce cours aide les participants à créer un plan de formation pour l'examen de certification afin de devenir ingénieur professionnel en machine learning (PMLE, Professional Machine Learning Engineer). Ils découvriront l'ampleur et le champ d'application des domaines abordés lors de l'examen. Ils détermineront s'ils sont prêts à passer l'examen et créeront leur propre plan de formation.
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Terminez le cours intermédiaire Ingénierie des données pour la modélisation prédictive avec BigQuery ML pour recevoir un badge démontrant vos compétences dans les domaines suivants : la création de pipelines de transformation des données dans BigQuery avec Dataprep by Trifacta ; l'utilisation de Cloud Storage, Dataflow et BigQuery pour créer des workflows ETL (Extract, Transform and Load) ; et la création de modèles de machine learning avec BigQuery ML.
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Terminez le cours intermédiaire Créer un entrepôt de données avec BigQuery pour recevoir un badge démontrant vos compétences dans les domaines suivants : la jointure de données pour créer des tables, la résolution des problèmes liés aux jointures, l'ajout de données avec des unions, la création de tables partitionnées par date, et l'utilisation d'objets JSON, ARRAY et STRUCT dans BigQuery. Un badge de compétence est un badge numérique exclusif délivré par Google Cloud. Il atteste de votre expertise des produits et services Google Cloud, et de votre capacité à mettre en pratique vos connaissances dans un environnement concret et interactif. Terminez ce cours et passez l'évaluation finale de l'atelier challenge
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Terminez le cours d'introduction Préparer des données pour les API de ML sur Google Cloud pour recevoir un badge démontrant vos compétences dans les domaines suivants : le nettoyage des données avec Dataprep by Trifacta, l'exécution de pipelines de données dans Dataflow, la création de clusters et l'exécution de jobs Apache Spark dans Dataproc, et l'appel d'API de ML comme l'API Cloud Natural Language, l'API Google Cloud Speech-to-Text et l'API Video Intelligence. Un badge de compétence est un badge numérique exclusif délivré par Google Cloud. Il atteste de votre expertise des produits et services Google Cloud, et de votre capacité à mettre en pratique vos connaissances dans un environnement concret et interactif. Terminez ce cours et passez l'évaluation finale de l'atelier challenge pour recevoir un badge de compétence que vous pourrez partager avec votre réseau.
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By the end of this course, you should feel confident employing technical concepts to fulfill business requirements and be familiar with common complex design patterns.
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Complete the intermediate Manage Data Models in Looker skill badge to demonstrate skills in the following: maintaining LookML project health; utilizing SQL runner for data validation; employing LookML best practices; optimizing queries and reports for performance; and implementing persistent derived tables and caching policies. 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 course, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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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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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 shadow a series of client meetings led by a Looker Professional Services Consultant.
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In this course you will discover additional tools for your toolbox for working with complex deployments, building robust solutions, and delivering even more value.
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Develop technical skills beyond LookML along with basic administration for optimizing Looker instances
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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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Hands on course covering the main uses of extends and the three primary LookML objects extends are used on as well as some advanced usage of extends.
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This course aims to introduce you to the basic concepts of Git: what it is and how it's used in Looker. You will also develop an in-depth knowledge of the caching process on the Looker platform, such as why they are used and why they work
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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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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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This course is designed for Looker users who want to create their own ad-hoc reports. It assumes experience of everything covered in our Get Started with Looker course (logging in, finding Looks & dashboards, adjusting filters, and sending data)
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This course is designed to teach you about roles, permission sets and model sets. These are areas that are used together to manage what users can do and what they can see in Looker.
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Complete the introductory Build LookML Objects in Looker skill badge course to demonstrate skills in the following: building new dimensions and measures, views, and derived tables; setting measure filters and types based on requirements; updating dimensions and measures; building and refining Explores; joining views to existing Explores; and deciding which LookML objects to create based on business requirements.
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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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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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Terminez le cours d'introduction Préparer les données à utiliser pour les tableaux de bord et rapports Looker pour recevoir un badge démontrant vos compétences dans les domaines suivants : le filtrage, le tri et le croisement de données ; la fusion des résultats de différentes explorations Looker ; et l'utilisation de fonctions et d'opérateurs pour créer des tableaux de bord et des rapports Looker en vue de l'analyse et de la visualisation des données. Un badge de compétence est un badge numérique exclusif délivré par Google Cloud. Il atteste de votre expertise des produits et services Google Cloud, et de votre capacité à mettre en pratique vos connaissances dans un environnement concret et interactif. Terminez ce cours et passez l'évaluation finale de l'atelier challenge pour recevoir un badge de compétence que vous pourrez partager avec votre réseau.
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This course reviews the processes for creating table calculations, pivots and visualizations
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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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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.
Looker Services Knowledge Test
Earned juin 30, 2025 EDT
Develop Data Models with LookML in Looker
Earned juin 27, 2025 EDT
Administer Looker Environments
Earned juin 26, 2025 EDT
Guide de préparation pour devenir ingénieur professionnel en machine learning
Earned mars 18, 2025 EDT
Ingénierie des données pour la modélisation prédictive avec BigQuery ML
Earned fév. 27, 2025 EST
Créer un entrepôt de données avec BigQuery
Earned fév. 26, 2025 EST
Préparer des données pour les API de ML sur Google Cloud
Earned fév. 26, 2025 EST
Case Studies
Earned août 5, 2022 EDT
Manage Data Models in Looker
Earned juil. 29, 2022 EDT
Applying Advanced LookML Concepts in Looker
Earned juil. 27, 2022 EDT
Developing Data Models with LookML
Earned juil. 27, 2022 EDT
Delivery Shadowing
Earned juil. 25, 2022 EDT
Technology + Beyond the UI
Earned juil. 21, 2022 EDT
Technology + Within the UI
Earned juil. 20, 2022 EDT
Liquid Templates and Parameters
Earned juil. 14, 2022 EDT
Extends to Keep LookML DRY
Earned juil. 13, 2022 EDT
Version Control and Caching
Earned juil. 13, 2022 EDT
Achieving Business Outcomes with Looker
Earned juil. 7, 2022 EDT
Driving Data Culture and Designing Dashboards
Earned juil. 6, 2022 EDT
Building Reports in Looker
Earned juil. 5, 2022 EDT
Admin Roles and Folder Access
Earned juil. 4, 2022 EDT
Build LookML Objects in Looker
Earned juin 30, 2022 EDT
Understanding LookML in Looker
Earned juin 24, 2022 EDT
The Modern Data Platform and LookML
Earned juin 24, 2022 EDT
Préparer les données à utiliser pour les tableaux de bord et rapports Looker
Earned juin 23, 2022 EDT
Table Calculations, Pivots, and Visualizations
Earned juin 21, 2022 EDT
Analyzing and Visualizing Data in Looker
Earned juin 20, 2022 EDT
Looker Explained
Earned juin 17, 2022 EDT