Analysing and Visualising Data in Looker
Want to learn how to undertake data exploration and analysis in Looker that would formerly be done by SQL developers or analysts? Then this one-day course is the perfect place to start.
Book this courseCOURSE OVERVIEW
1 day course
Partner of the Year
Private
Certificate of Attendance
As a Google Cloud Partner, Jellyfish provides world-leading Cloud-based training solutions to help clients succeed.
This introductory-level session outlines Looker’s capabilities for working with data, and provides guided demos and hands-on practice of data exploration, analysis and visualization.
During the course, you’ll learn how to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance. You’ll also be shown how to ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision-making.
Our Analysing and Visualising Data in Looker course is available as a private training session that can be delivered via Virtual Classroom, at our training centre in The Shard, or at a location of your choice in the UK.
What you’ll learn
By the end of this course, you will be able to:
Define Looker and the capabilities it provides for working with data
Use dimensions, measures, filters and pivots to analyze and visualize data
Create dashboards to combine and share visualizations
Explain the four core analytical concepts in Looker (dimensions, measures, filters, pivots)
Create advanced metrics instantaneously with table calculations
Utilize folders and boards in Looker to organize content for navigability and discoverability
Course agenda
Module 1: Introduction to Looker
- Looker interface and components
- 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
- Dimensions, measures, filters, pivots
- Explain the four core analytical concepts in Looker (dimensions, measures, filters and 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 data
- Use pivots to restructure and group data
Module 3: Table Calculations
- 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
Module 4: Looks & Dashboards
- 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
Module 5: Content Management
- Looker content organization, folders, boards
- 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
Who it's for
This course is suitable for business users who need to draw insights from data, as well as data analysts who are responsible for data analysis and visualization within their organizations.
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For private sessions call our sales team