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.
Overview
Syllabus
- The Looker platform
- This module provides an overview of the Looker user interface and its key components for data explorers.
- Data analysis building blocks
- This module reviews three data analysis building blocks - dimensions, measures, and filters.
- Working with Looker content
- This module explores the use of dashboards for multiple visualizations and boards to curate Looker content.
- Customizing Explores
- This module explores pivoting data in Looker to turn a selected dimension into several columns. The module also covers the writing of table calculations to instantaneously create new metrics and offset calculations to programmatically reference values from other rows or columns in your query results to calculate new values.
- Creating new Looker content
- This module explores the creation of single, stand-alone reports (Looks) and dashboards, which can be used to combine individual visualizations.
- Sharing Looker data with others
- This module explores how you can share or export content from Looker.
Taught by
Google Cloud Training
