Detailed Course Outline
Module 1 - Introduction to Looker
Topics - Looker interface and components
- Define Looker and the capabilities it provides for working with data
- Navigate the Looker interface to access data and functionality
- 1 demo, 1 quiz
Module 2 - Core Analytics Concepts
Topics - Dimensions, measures, filters, pivots
- 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
- 4 demos, 1 quiz, 1 lab
Module 3 - Table Calculations
Topics - Table calculations, offset functions
- 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
- 4 demos, 1 quiz, 1 lab
Module 4 - Looks and Dashboards
Topics - Looks, Looker dashboards, data delivery options
- 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 systems
- 1 demo, 1 quiz
Module 5 - Content Management
Topics - Looker content organization, folders, boards
- Explain how to use 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
- 1 demo, 1 quiz