Analyzing and Visualizing Data in Looker

Course 1466

  • Duration: 1 day
  • Language: English
  • Level: Foundation

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.

Analyzing and Visualizing Data in Looker Delivery Methods

  • In-Person

  • Online

  • Upskill your whole team by bringing Private Team Training to your facility.

Analyzing and Visualizing Data in Looker Course Information

In this course, you will:

  • Define Looker and the capabilities it provides for working with data.
  • Explain the four core analytical concepts in Looker (dimensions, measures, filters, pivots)
  • Use dimensions, measures, filters, and pivots to analyze and visualize data.
  • Create advanced metrics instantaneously with table calculations.
  • Create and share visualizations using Looks and dashboards.
  • Discuss the use of folders and boards in Looker to manage and organize content.

Prerequisites

None

Analyzing and Visualizing Data in Looker Course Outline

Module 1) Introduction to Looker

  • Define Looker and the capabilities it provides for working with data.
  • Navigate the Looker user interface to access data and functionality.

 

Module 2) Core Analytics and Concepts

  • Explain the four core analytical concepts in Looker (dimensions, measures, filters, pivots)
  • Discuss dimensions to access data attributes.
  • Identify measures to aggregate data attributes.
  • Combine dimensions and measures for richer data analysis and visualization.
  • Filter dimensions and measures to analyze a subset of the data.
  • Use pivots to restructure and group data.

 

Module 3) Table Calculations

  • Explain how table calculations and offset functions are used to work with data in Looker.
  • List the types of table calculations and offset functions available in Looker.
  • Create new metrics instantaneously with table calculations and offset functions.

 

Module 4) Looks and Dashboards

  • Explain how to create and deliver Looks and dashboards in Looker to share results with stakeholders.
  • Discuss how to create and share standalone visualization reports called Looks.
  • Discuss how to create and share dashboards to combine multiple visualizations for a business topic or domain.
  • Add new content to an existing dashboard.
  • Add filters to a Look or dashboard for flexible analysis of a subset of the data.
  • Discuss the delivery of data outside of Looker for access by other stakeholders or system.

 

Module 5) Content Management

  • Looker content organization, folders, boards
  • Discuss folders in Looker to organize content for navigability and discoverability.
  • Discuss the creating and sharing of boards to centralize content that lives in different folders in a Looker instance.

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Analyzing and Visualizing Data in Looker FAQs

  • 5 modules
  • 40 videos
  • 2 labs
  • 16 classroom activities

The course is structured into multiple modules, each focusing on different aspects of analyzing and visualizing data in Looker. It includes video lectures, hands-on labs, quizzes, and practical exercises to reinforce learning.

You will work on projects that involve creating visualizations, building dashboards, performing data exploration, and using LookML to customize data models. These projects are designed to help you gain practical skills and build a portfolio of work.

This course can enhance your data analysis and visualization skills, making you more valuable to employers. It demonstrates your ability to work with Looker and create impactful data visualizations, which can help you pursue roles such as data analyst, business intelligence developer, or data scientist.

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