04 Nov 2024 - 04 Nov 2024 | Analyzing and Visualizing Data in Looker |
Description
This course is an introductory-level training that outlines Looker’s capabilities for working with data and provides guided demos and hands-on practice with Looker functionality for data exploration, analysis and visualization.
Audience and prerequisites
This class is intended for the following job roles:
- Business users who need to draw insights from data
- Data analysts who are responsible for data analysis and visualization within their organizations.
There are no prerequisites needed to take this course.
Objectives
This course teaches participants the following skills:
- 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 dashboards to combine and share visualizations
- Utilize folders and boards in Looker to organize content for navigability and discoverability
Topics
Module 1: Introduction to Looker
- Define Looker and the capabilities it provides for working with data.
- Navigate the Looker interface to access data and functionality.
Module 2: Core Analytics Concepts
- 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.
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: Dashboards
- 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.
Module 5: Content Management
- 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.
Open calls
04 Nov 2024 - 04 Nov 2024 | Analyzing and Visualizing Data in Looker |