회원 가입일: 2024
Applying Advanced LookML Concepts in Looker
Earned 2월 24, 2024 EST
Understanding LookML in Looker
Earned 2월 24, 2024 EST
Prepare Data for Looker Dashboards and Reports
Earned 2월 24, 2024 EST
Developing Data Models with LookML
Earned 2월 23, 2024 EST
Analyzing and Visualizing Data in Looker
Earned 2월 19, 2024 EST
Introduction to Data Analytics on Google Cloud
Earned 2월 18, 2024 EST
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.
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.
초급 Prepare Data for Looker Dashboards and Reports 기술 배지를 획득하여 데이터 필터링, 정렬, 피벗팅, 다른 Looker Explore의 결과 병합, 함수 및 연산자를 사용해 Looker 대시보드 보고서를 빌드하여 데이터를 분석 및 시각화하는 기술 역량을 입증하세요. 기술 배지는 Google Cloud 제품 및 서비스 숙련도에 따라 Google Cloud에서 독점적으로 발급하는 디지털 배지로, 기술 배지 과정을 통해 대화형 실습 환경에서 지식을 적용하는 역량을 테스트할 수 있습니다. 이 기술 배지 과정과 최종 평가 챌린지 실습을 완료하면 네트워크에 공유할 수 있는 기술 배지를 받을 수 있습니다.
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.
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.
This introductory course explores the basics of data analysis, including collection, storage, exploration, visualization, and sharing. This course also introduces Google Cloud's data analytics tools and services. Through video lectures, demos, quizzes, and hands-on labs, this course demonstrates how to go from raw data to impactful visualizations and dashboards. Whether you already work with data and want to learn how to be successful on Google Cloud, or you’re looking to progress in your career, this course will help you get started.