Generative AI Fundamentals
Earned Haz 12, 2023 EDT
Sorumlu Yapay Zeka'ya Giriş
Earned Haz 12, 2023 EDT
Dönüştürücü Modelleri ve BERT Modeli
Earned May 23, 2023 EDT
Dikkat Mekanizması
Earned May 23, 2023 EDT
Büyük Dil Modellerine Giriş
Earned May 23, 2023 EDT
Üretken Yapay Zekaya Giriş
Earned May 23, 2023 EDT
Build LookML Objects in Looker
Earned Eyl 16, 2022 EDT
Manage Data Models in Looker
Earned Eyl 12, 2022 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Mar 30, 2022 EDT
Looker and BigQuery Extended Capabilities
Earned Oca 25, 2022 EST
Delivery Shadowing
Earned Oca 13, 2022 EST
Case Studies
Earned Oca 10, 2022 EST
Technology + Beyond the UI
Earned Oca 7, 2022 EST
Technology + Within the UI
Earned Oca 4, 2022 EST
Table Calculations, Pivots, and Visualizations
Earned Oca 4, 2022 EST
Building Reports in Looker
Earned Oca 3, 2022 EST
Liquid Templates and Parameters
Earned Oca 3, 2022 EST
Extends to Keep LookML DRY
Earned Oca 3, 2022 EST
Admin Roles and Folder Access
Earned Oca 3, 2022 EST
Version Control and Caching
Earned Oca 3, 2022 EST
The Modern Data Platform and LookML
Earned Oca 3, 2022 EST
Driving Data Culture and Designing Dashboards
Earned Ara 22, 2021 EST
Achieving Business Outcomes with Looker
Earned Kas 25, 2021 EST
Looker Explained
Earned Kas 24, 2021 EST
Developing Data Models with LookML
Earned Kas 23, 2021 EST
Analyzing and Visualizing Data in Looker
Earned Kas 22, 2021 EST
Applying Advanced LookML Concepts in Looker
Earned Kas 16, 2021 EST
Prepare Data for Looker Dashboards and Reports
Earned Kas 10, 2021 EST
Understanding LookML in Looker
Earned Kas 8, 2021 EST
This skill badge course aims to unlock the power of data visualization and business intelligence reporting with Looker, and gain hands-on experience through labs.
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Complete the intermediate Build a Data Warehouse with BigQuery skill badge to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery. 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 the skill badge course, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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Giriş düzeyindeki BigQuery Verilerinden Analiz Elde Etme beceri rozetini alarak şu konulardaki becerilerinizi gösterin: SQL sorguları yazma, herkese açık tabloları sorgulama, örnek verileri BigQuery'ye yükleme, BigQuery'deki sorgu doğrulayıcı ile yaygın söz dizimi sorunlarını giderme ve BigQuery verilerine bağlanarak Looker Studio'da rapor oluşturma Beceri rozeti, Google Cloud ürün ve hizmetlerindeki uzmanlık düzeyinizin tanınması amacıyla Google Cloud tarafından verilen özel bir dijital rozettir. Rozeti alabilmek için bildiklerinizi etkileşimli ve uygulamalı bir ortamda başarıyla kullanabilmeniz gerekir. Ağınızla paylaşabileceğiniz bir beceri rozeti kazanmak için bu beceri rozeti kursunu ve son değerlendirme niteliğindeki yarışma laboratuvarını tamamlayın.
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Data pipelines typically fall under one of the Extract and Load (EL), Extract, Load and Transform (ELT) or Extract, Transform and Load (ETL) paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud for data transformation including BigQuery, executing Spark on Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Dataflow. Learners get hands-on experience building data pipeline components on Google Cloud using Qwiklabs.
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The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment.
This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course.
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In this course, we see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Dataprep to analyze and transform your datasets.
This is the first course of the From Data to Insights with Google Cloud series. After completing this course, enroll in the Creating New BigQuery Datasets and Visualizing Insights course.
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This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
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Welcome to Design in BigQuery, where we map Enterprise Data Warehouse concepts and components to BigQuery and Google data services with a focus on schema design.
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This course discusses the key elements of Google's Data Warehouse solution portfolio and strategy.
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Earn a skill badge by passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI.
A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.
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This course will help ML Engineers, Developers, and Data Scientists implement Large Language Models for Generative AI use cases with Vertex AI. The first two modules of this course contain links to videos and prerequisite course materials that will build your knowledge foundation in Generative AI. Please do not skip these modules. The advanced modules in this course assume you have completed these earlier modules.
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Kurumsal yapay zeka ve makine öğreniminin kullanımı artmaya devam ettikçe, bunu sorumlu bir şekilde oluşturmanın önemi de artıyor. Sorumlu yapay zeka hakkında konuşmanın, onu uygulamaya koymaktan çok daha kolay olabilmesi burada bir zorluk oluşturmaktadır. Kuruluşunuzda sorumlu yapay zekayı nasıl işlevsel hale getireceğinizi öğrenmekle ilgileniyorsanız, bu kurs tam size göre.
Bu kurs, Google Cloud'un sorumlu yapay zeka yaklaşımını nasıl uyguladığını derinlemesine inceleyerek, kendi sorumlu yapay zeka stratejinizi oluşturmanız için size kapsamlı bir çerçeve sunuyor.
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Want to turn your marketing data into insights and build dashboards? Bring all of your data into one place for large-scale analysis and model building. Get repeatable, scalable, and valuable insights into your data by learning how to query it and using BigQuery. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
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The Generative AI Explorer - Vertex Quest is a collection of labs on how to use Generative AI on Google Cloud. Through the labs, you will learn about how to use the models in the Vertex AI PaLM API family, including text-bison, chat-bison, and textembedding-gecko. You will also learn about prompt design, best practices, and how it can be used for ideation, text classification, text extraction, text summarization, and more. You will also learn how to tune a foundation model by training it via Vertex AI custom training and deploy it to a Vertex AI endpoint.
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Bu kursta Vertex AI Studio tanıtılmaktadır. Bu araç, üretken yapay zeka modelleriyle etkileşime geçmek, kurumsal fikirlerin prototipini oluşturmak ve bunları gerçek hayatta uygulamak için kullanılır. Gerçek hayattan kullanım alanları, etkileşimli dersler ve uygulamalı laboratuvarlar aracılığıyla, ilk istemden son ürüne uzanan yaşam döngüsünü keşfedecek ve çoklu format destekli Gemini uygulamaları, istem tasarımı, istem mühendisliği ve model ayarlama konularında Vertex AI Studio'dan nasıl yararlanabileceğinizi öğreneceksiniz. Bu kursun amacı, Vertex AI Studio'yu kullanarak projelerinizde üretken yapay zekadan yararlanabilmenizi sağlamaktır.
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Bu kurs, derin öğrenmeyi kullanarak görüntülere altyazı ekleme modeli oluşturmayı öğretmektedir. Kurs sırasında görüntülere altyazı ekleme modelinin farklı bileşenlerini (ör. kodlayıcı ve kod çözücü) ve modelinizi eğitip değerlendirmeyi öğreneceksiniz. Bu kursu tamamlayan öğrenciler, kendi görüntülere altyazı ekleme modellerini oluşturabilecek ve bu modelleri görüntülere altyazı oluşturmak için kullanabilecek.
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Bu kursta, kodlayıcı-kod çözücü mimarisi özet olarak anlatılmaktadır. Bu mimari; makine çevirisi, metin özetleme ve soru yanıtlama gibi "sıradan sıraya" görevlerde yaygın olarak kullanılan, güçlü bir makine öğrenimi mimarisidir. Kursta, kodlayıcı-kod çözücü mimarisinin ana bileşenlerini ve bu modellerin nasıl eğitilip sunulacağını öğreneceksiniz. Laboratuvarın adım adım açıklamalı kılavuz bölümünde ise sıfırdan şiir üretmek için TensorFlow'da kodlayıcı-kod çözücü mimarisinin basit bir uygulamasını yazacaksınız.
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Bu kursta, görüntü üretme alanında gelecek vadeden bir makine öğrenimi modelleri ailesi olan "difüzyon modelleri" tanıtılmaktadır. Difüzyon modelleri fizikten, özellikle de termodinamikten ilham alır. Geçtiğimiz birkaç yıl içinde, gerek araştırma gerekse endüstri alanında difüzyon modelleri popülerlik kazandı. Google Cloud'daki son teknoloji görüntü üretme model ve araçlarının çoğu, difüzyon modelleri ile desteklenmektedir. Bu kursta, difüzyon modellerinin ardındaki teori tanıtılmakta ve bu modellerin Vertex AI'da nasıl eğitilip dağıtılacağı açıklanmaktadır.
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Earn a skill badge by completing the Introduction to Generative AI, Introduction to Large Language Models and Introduction to Responsible AI courses. By passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI.
A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.
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Bu kurs, sorumlu yapay zekanın ne olduğunu, neden önemli olduğunu ve Google'ın sorumlu yapay zekayı ürünlerinde nasıl uyguladığını açıklamayı amaçlayan giriş seviyesinde bir mikro öğrenme kursudur. Ayrıca Google'ın 7 yapay zeka ilkesini de tanıtır.
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Bu kurs, dönüştürücü mimarisini ve dönüştürücülerden çift yönlü kodlayıcı temsilleri (BERT - Encoder Representations from Transformers) modelini tanıtmaktadır. Kursta, öz dikkat mekanizması gibi dönüştürücü mimarisinin ana bileşenlerini ve BERT modelini oluşturmak için dönüştürücünün nasıl kullanıldığını öğreneceksiniz. Ayrıca sınıflandırma, soru yanıtlama ve doğal dil çıkarımı gibi BERT'in kullanılabileceği çeşitli görevler hakkında da bilgi sahibi olacaksınız. Kursun tahmini süresi 45 dakikadır.
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Bu kursta nöral ağların, giriş sırasının belirli bölümlerine odaklanmasına olanak tanıyan güçlü bir teknik olan dikkat mekanizması tanıtılmaktadır. Kursta, dikkat mekanizmasının çalışma şeklini ve makine öğrenimi, metin özetleme ve soru yanıtlama gibi çeşitli makine öğrenimi görevlerinin performansını artırmak için nasıl kullanılabileceğini öğreneceksiniz.
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Bu giriş seviyesi mikro öğrenme kursunda büyük dil modelleri (BDM) nedir, hangi kullanım durumlarında kullanılabileceği ve büyük dil modelleri performansını artırmak için nasıl istem ayarlaması yapabileceğiniz keşfedilecektir. Ayrıca kendi üretken yapay zeka uygulamalarınızı geliştirmenize yardımcı olacak Google araçları hakkında bilgi verilecektir.
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Bu, üretken yapay zekanın ne olduğunu, nasıl kullanıldığını ve geleneksel makine öğrenme yöntemlerinden nasıl farklı olduğunu açıklamayı amaçlayan giriş seviyesi bir mikro öğrenme kursudur. Ayrıca kendi üretken yapay zeka uygulamalarınızı geliştirmenize yardımcı olacak Google Araçlarını da kapsar.
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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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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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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.
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Explore the Looker platform and examine the extended capabilities offered through BigQuery.
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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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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 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 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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Complete the introductory Prepare Data for Looker Dashboards and Reports skill badge to demonstrate skills in the following: filtering, sorting, and pivoting data; merging results from different Looker Explores; and using functions and operators to build Looker dashboards and reports for data analysis and visualization. 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 skill badge that you can share with your network.
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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.
Visualize Your Data in Looker
Earned Eki 17, 2024 EDT
Build a Data Warehouse with BigQuery
Earned Eki 17, 2024 EDT
BigQuery Verilerinden Analiz Elde Etme
Earned Eki 17, 2024 EDT
Building Batch Data Pipelines on Google Cloud
Earned Eki 16, 2024 EDT
Modernizing Data Lakes and Data Warehouses with Google Cloud
Earned Eki 15, 2024 EDT
Exploring and Preparing your Data with BigQuery
Earned Eki 15, 2024 EDT
Preparing for your Professional Data Engineer Journey
Earned Eki 1, 2024 EDT
Data Warehousing for Partners: Design in BigQuery
Earned Oca 23, 2024 EST
Data Warehousing for Partners: Enable Google Cloud Customers
Earned Oca 23, 2024 EST
Generative AI Fundamentals
Earned Eyl 19, 2023 EDT
Implementing Generative AI with Vertex AI
Earned Tem 10, 2023 EDT
Sorumlu Yapay Zeka: Google Cloud ile Yapay Zeka İlkelerinin Uygulanması
Earned Tem 10, 2023 EDT
DEPRECATED BigQuery for Marketing Analysts
Earned Haz 14, 2023 EDT
Generative AI Explorer - Vertex AI
Earned Haz 12, 2023 EDT
Vertex AI Studio'ya Giriş
Earned Haz 12, 2023 EDT
Görüntülere Altyazı Ekleme Modelleri Oluşturma
Earned Haz 12, 2023 EDT
Kodlayıcı-Kod Çözücü Mimarisi
Earned Haz 12, 2023 EDT
Görüntü Üretmeye Giriş
Earned Haz 12, 2023 EDT
Generative AI Fundamentals
Earned Haz 12, 2023 EDT
Sorumlu Yapay Zeka'ya Giriş
Earned Haz 12, 2023 EDT
Dönüştürücü Modelleri ve BERT Modeli
Earned May 23, 2023 EDT
Dikkat Mekanizması
Earned May 23, 2023 EDT
Büyük Dil Modellerine Giriş
Earned May 23, 2023 EDT
Üretken Yapay Zekaya Giriş
Earned May 23, 2023 EDT
Build LookML Objects in Looker
Earned Eyl 16, 2022 EDT
Manage Data Models in Looker
Earned Eyl 12, 2022 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Mar 30, 2022 EDT
Looker and BigQuery Extended Capabilities
Earned Oca 25, 2022 EST
Delivery Shadowing
Earned Oca 13, 2022 EST
Case Studies
Earned Oca 10, 2022 EST
Technology + Beyond the UI
Earned Oca 7, 2022 EST
Technology + Within the UI
Earned Oca 4, 2022 EST
Table Calculations, Pivots, and Visualizations
Earned Oca 4, 2022 EST
Building Reports in Looker
Earned Oca 3, 2022 EST
Liquid Templates and Parameters
Earned Oca 3, 2022 EST
Extends to Keep LookML DRY
Earned Oca 3, 2022 EST
Admin Roles and Folder Access
Earned Oca 3, 2022 EST
Version Control and Caching
Earned Oca 3, 2022 EST
The Modern Data Platform and LookML
Earned Oca 3, 2022 EST
Driving Data Culture and Designing Dashboards
Earned Ara 22, 2021 EST
Achieving Business Outcomes with Looker
Earned Kas 25, 2021 EST
Looker Explained
Earned Kas 24, 2021 EST
Developing Data Models with LookML
Earned Kas 23, 2021 EST
Analyzing and Visualizing Data in Looker
Earned Kas 22, 2021 EST
Applying Advanced LookML Concepts in Looker
Earned Kas 16, 2021 EST
Prepare Data for Looker Dashboards and Reports
Earned Kas 10, 2021 EST
Understanding LookML in Looker
Earned Kas 8, 2021 EST