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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 visualisation.
During the course, you’ll learn how to leverage Looker's modern analytics platform to find and explore relevant content in your organisation’s Looker instance. You’ll also be shown how to ask questions of your data, create new metrics as needed, and build and share visualisations 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.
Course overview
Who should attend:
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 visualisation within their organisations.
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
- Explain the four core analytical concepts in Looker (dimensions, measures, filters, pivots)
- Use dimensions, measures, filters and pivots to analyse and visualise data
- Create advanced metrics instantaneously with table calculations
- Create dashboards to combine and share visualisations
- Utilise folders and boards in Looker to organise content for navigability and discoverability
Course agenda
- Looker interface and components
- Define Looker and the capabilities it provides for working with data
- Navigate the Looker interface to access data and functionality
- 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 visualisation
- Filter dimensions and measures to analyse a subset of data
- Use pivots to restructure and group data
- 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
- 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 visualisation reports called Looks
- Discuss how to create and share dashboards to combine multiple visualisations 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
- Looker content organisation, folders, boards
- Explain how to use folders in Looker to organise content for navigability and discoverability
- Create and share boards to centralise content pertaining to one topic or theme