Module 1: Introduction to Looker
Topics: Looker interface and components
Objectives:
- Define Looker and the capabilities it provides for working with data
- Navigate the Looker interface to access data and functionality
Activities: 1 demo
Module 2: Core Analytics Concepts
Topics: Dimensions, measures, filters, pivots
Objectives:
- Explain the four core analytical concepts in Looker (dimensions, measures, filters, pivots)
- Use dimensions to access data attributes
- Use 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
Actvities: 4 demos, 1 quiz, 1 lab
Module 3: Table Calculations
Topics: Table calculations, offset functions
Objectives:
- 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
Activities: 4 demos, 1 quiz, 1 lab
Module 4: Dashboards
Topics: Looker dashboards, data delivery options
Objectives:
- Understand how to use dashboards in Looker to share data and results with stakeholders
- Create dashboards to visualize multiple aspects of a business topic or domain
- Add new content to an existing dashboard
- Add filters to a dashboard for flexible analysis of a subset of the data
- Deliver data outside of Looker for access by other stakeholders or systems
Activities: 1 demo
Module 5: Content Management
Topics: Looker content organization, folders, boards
Objectives:
- Explain how to use folders in Looker to organize content for navigability and discoverability
- Create and share boards to centralize content pertaining to one topic or theme
Activities: 1 demo
