LookML: Data Modeling and Dashboard Delivery

Google Cloud via Coursera Specialization

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Provider

Coursera Specialization
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

4 weeks, 10 hours a week
Sessions

Self-Paced
Level

Intermediate

Found in

Overview

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LookML: Data Modeling and Dashboard Delivery Specialization helps you build the LookML skills needed to create trusted data models and deliver reliable dashboards in Looker. You’ll learn how LookML organizes business data so users can explore, analyze, and share insights with confidence. By the end of this Specialization, you’ll be able to: Build LookML views, dimensions, measures, joins, Explores, and derived tables Create and deliver Looker dashboards, Looks, alerts, and scheduled reports Use filters, Liquid, datagroups, and caching to improve analytics workflows Troubleshoot LookML projects with SQL Runner, validators, and Explore errors You’ll begin with data exploration and dashboard delivery in Looker, then move into LookML development, derived tables, caching, usability, and troubleshooting. This Specialization is designed for learners who want to support analytics teams with governed data models and business-ready dashboards.

Syllabus

Course 1: Analyzing and Visualizing Data in Looker
Course 2: Looker Functions and Operators
Course 3: Sending and Scheduling Dashboards in Looker
Course 4: Creating Tile-based Dashboard Alerts in Looker
Course 5: Developing Data Models with LookML
Course 6: Looker Developer - Qwik Start
Course 7: Caching and Datagroups with LookML
Course 8: Answering Complex Questions Using Native Derived Tables with LookML
Course 9: Creating dynamic SQL derived tables with LookML and Liquid
Course 10: Filtering Explores with LookML
Course 11: Troubleshooting Data Models in Looker
Course 12: Employing Best Practices for Improving the Usability of LookML Projects

Courses

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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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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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This is a Google Cloud Self-Paced Lab. In this lab, you will learn how caching works in Looker and explore how to use LookML objects called datagroups to define caching policies.
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This is a Google Cloud Self-Paced Lab. In this lab, you will learn how to filter explores with LookML
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This is a Google Cloud Self-Paced Lab. In this lab, you will learn about the fundamental LookML structures, create a view, and join the new view to an existing explore.
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This is a Google Cloud Self-Paced Lab. In this lab you will learn how to create and update SQL derived tables to generate dynamic values.
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This is a Google Cloud Self-Paced Lab. In this lab you will use native derived tables to answer complex questions with LookML.
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This is a Google Cloud Self-Paced Lab. In this lab, you will learn how to use Looker to pivot dimensions, reorder columns, remove fields, and use table calculations.
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This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to troubleshoot and diagnose LookML code
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This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to improve the usability and sustainability of LookML projects.
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This is a self-paced lab that takes place in the Google Cloud console.In this lab, you learn about the different options for sharing and scheduling dashboards in Looker.
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This is a self-paced lab that takes place in the Google Cloud console.In this lab, you learn how to create and modify tile-based dashboard alerts in Looker.