GOOGLE CLOUD
Analyzing and Visualizing Data in Looker
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.
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
Utilize folders and boards in Looker to manage and organize content
Business Users who need to draw insights from data.
Data Analysts who are responsible for data analysis and visualization within their organizations
Introductory
1 x 8 hour session
Basic proficiency with ANSI SQL
Delivered in English
Looker user interface and components
Define Looker and the capabilities it provides for working with data
Navigate the Looker user interface to access data and functionality
Dimensions
measures
filters
pivots
Table calculations, offset functions
Looks, Looker dashboards, data delivery options
Looker content organization, folders, boards
Ref: C-LOOKAV-B-02
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