Einführung in die verantwortungsbewusste Anwendung von KI
Earned Jul 30, 2023 EDT
Einführung in Large Language Models
Earned Jul 30, 2023 EDT
Einführung in generative KI
Earned Jul 30, 2023 EDT
Driving Data Culture and Designing Dashboards
Earned Sep 16, 2022 EDT
Extends to Keep LookML DRY
Earned Sep 16, 2022 EDT
Achieving Business Outcomes with Looker
Earned Sep 16, 2022 EDT
Looker Explained
Earned Sep 16, 2022 EDT
Manage Data Models in Looker
Earned Sep 16, 2022 EDT
Build LookML Objects in Looker
Earned Sep 16, 2022 EDT
Delivery Shadowing
Earned Sep 14, 2022 EDT
Case Studies
Earned Sep 14, 2022 EDT
Technology + Beyond the UI
Earned Sep 13, 2022 EDT
Technology + Within the UI
Earned Sep 13, 2022 EDT
Table Calculations, Pivots, and Visualizations
Earned Sep 13, 2022 EDT
Building Reports in Looker
Earned Sep 13, 2022 EDT
Liquid Templates and Parameters
Earned Sep 13, 2022 EDT
Admin Roles and Folder Access
Earned Sep 12, 2022 EDT
Version Control and Caching
Earned Sep 12, 2022 EDT
The Modern Data Platform and LookML
Earned Sep 12, 2022 EDT
In diesem Einführungskurs im Microlearning-Format wird erklärt, was verantwortungsbewusste Anwendung von KI bedeutet, warum sie wichtig ist und wie Google dies in seinen Produkten berücksichtigt. Darüber hinaus werden die 7 KI-Grundsätze von Google behandelt.
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In diesem Einführungskurs im Microlearning-Format wird untersucht, was Large Language Models (LLM) sind, für welche Anwendungsfälle sie genutzt werden können und wie die LLM-Leistung durch Feinabstimmung von Prompts gesteigert werden kann. Darüber hinaus werden Tools von Google behandelt, die das Entwickeln eigener Anwendungen basierend auf generativer KI ermöglichen.
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In diesem Einführungskurs im Microlearning-Format wird erklärt, was generative KI ist, wie sie genutzt wird und wie sie sich von herkömmlichen Methoden für Machine Learning unterscheidet. Darüber hinaus werden Tools von Google behandelt, mit denen Sie eigene Anwendungen basierend auf generativer KI entwickeln können.
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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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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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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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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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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 course, you shadow a series of client meetings led by a Looker Professional Services Consultant.
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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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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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This course reviews the processes for creating table calculations, pivots and visualizations
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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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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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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.
Einführung in die verantwortungsbewusste Anwendung von KI
Earned Jul 30, 2023 EDT
Einführung in Large Language Models
Earned Jul 30, 2023 EDT
Einführung in generative KI
Earned Jul 30, 2023 EDT
Driving Data Culture and Designing Dashboards
Earned Sep 16, 2022 EDT
Extends to Keep LookML DRY
Earned Sep 16, 2022 EDT
Achieving Business Outcomes with Looker
Earned Sep 16, 2022 EDT
Looker Explained
Earned Sep 16, 2022 EDT
Manage Data Models in Looker
Earned Sep 16, 2022 EDT
Build LookML Objects in Looker
Earned Sep 16, 2022 EDT
Delivery Shadowing
Earned Sep 14, 2022 EDT
Case Studies
Earned Sep 14, 2022 EDT
Technology + Beyond the UI
Earned Sep 13, 2022 EDT
Technology + Within the UI
Earned Sep 13, 2022 EDT
Table Calculations, Pivots, and Visualizations
Earned Sep 13, 2022 EDT
Building Reports in Looker
Earned Sep 13, 2022 EDT
Liquid Templates and Parameters
Earned Sep 13, 2022 EDT
Admin Roles and Folder Access
Earned Sep 12, 2022 EDT
Version Control and Caching
Earned Sep 12, 2022 EDT
The Modern Data Platform and LookML
Earned Sep 12, 2022 EDT