Liquid Templates and Parameters
Earned sept. 2, 2024 EDT
Extends to Keep LookML DRY
Earned sept. 2, 2024 EDT
Admin Roles and Folder Access
Earned sept. 2, 2024 EDT
Version Control and Caching
Earned sept. 2, 2024 EDT
The Modern Data Platform and LookML
Earned sept. 2, 2024 EDT
Driving Data Culture and Designing Dashboards
Earned sept. 2, 2024 EDT
Achieving Business Outcomes with Looker
Earned sept. 2, 2024 EDT
Looker Explained
Earned juil. 18, 2024 EDT
Introduction to Responsible AI
Earned mars 20, 2024 EDT
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 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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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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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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This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 3 AI principles.
Liquid Templates and Parameters
Earned sept. 2, 2024 EDT
Extends to Keep LookML DRY
Earned sept. 2, 2024 EDT
Admin Roles and Folder Access
Earned sept. 2, 2024 EDT
Version Control and Caching
Earned sept. 2, 2024 EDT
The Modern Data Platform and LookML
Earned sept. 2, 2024 EDT
Driving Data Culture and Designing Dashboards
Earned sept. 2, 2024 EDT
Achieving Business Outcomes with Looker
Earned sept. 2, 2024 EDT
Looker Explained
Earned juil. 18, 2024 EDT
Introduction to Responsible AI
Earned mars 20, 2024 EDT