Analysing and Visualising Data in Looker

Name: Analysing and Visualising Data in Looker
Price: 1000.00 ZAR

Want to learn how to undertake data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts? This course is the place to start.

1 day course

Supporting material

Google Cloud Partner of the Year

Private

A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

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 or at a location of your choice in South Africa.

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 visualization within their organizations.

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 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

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

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