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Analysing and Visualising Data in Looker

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 visualisation.
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1 day course
Supporting material
Google Cloud Partner of the Year
Private
Private
A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

In this course, you will learn how to undertake 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 organisation’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualisations and dashboards to facilitate data-driven decision making.

Jellyfish has recently been named a Google Cloud Specialisation Partner of the Year. This title recognises our commitment to provide world-leading Cloud-based Training solutions that help our clients succeed.

Course overview
Who should attend:

Business users who need to draw insights from data; Data analysts who are responsible for data analysis and visualisation within their organisations.

Walk away with the ability 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
Prerequisites
No prior technical knowledge is required.
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 visualisation
  • Filter dimensions and measures to analyse 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: Dashboards
  • Looker dashboards, data delivery options
  • Understand how to use dashboards in Looker to share data and results with stakeholders
  • Create dashboards to visualise 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
  • 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
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