Bring the power to connect, analyze, and visualize data across multicloud environments.
Looker for Google Cloud Platform allows anyone in your business to quickly analyze and find insights in your datasets. Looker makes it easy to build a data exploration platform that makes your data accessible in a meaningful, intuitive way for your entire organization.
What’s in the Data Analyst/BI Analyst learning path?
- BigQuery for Data Analysts
- Developing Data Models with LookML
- Looker Developer Deep Dive
- Data Warehousing with BigQuery: Storage Design, Query Optimization, and Administration
Leverage data and gain real-time insights that improve your decision-making and accelerate innovation.
Overview
Learn how to design and build data processing systems.
In this Google Cloud course, you learn how to do the kind of 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 organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
Limited Time Offer: Get up to 45% OFF selected Google Cloud courses in H2 2025 via our Google Cloud Certified program.
Skills Covered
- 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 and share visualizations using Looks and dashboards
- Utilize folders and boards in Looker to manage and organize content
Prerequisites
There are no prerequisites required to attend this course. However if you’re new to data analytics, it will be recommend to complete: Introduction to Data Analytics on Google Cloud.
Target Audience
- Business Users who need to draw insights from data.
- Data Analysts who are responsible for data analysis and visualization within their organizations.
Module 1: Introduction to Looker
- Looker user interface and components
- Define Looker and the capabilities it provides for working with data
- Navigate the Looker user interface to access data and functionality
- Dimensions, measures, filters, pivots
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
Objectives
- 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 and Dashboards
Objectives
- Explain how to create and deliver Looks and dashboards in Looker to share results with stakeholders
- Create and share standalone visualization reports called Looks
- 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
- Deliver data outside of Looker for access by other stakeholders or systems
Module 5: Content Management
Objectives
- Use folders in Looker to organize content for navigability and discoverability
- Create and share boards to centralize content that lives in different folders in a Looker instance
Dates & Locations
July 30, 2026 - July 30, 2026
July 30, 2026 - July 30, 2026
September 17, 2026 - September 17, 2026
September 17, 2026 - September 17, 2026
November 23, 2026 - November 23, 2026
November 23, 2026 - November 23, 2026
Exam & Certification
Note: There is no exam directly associated with this course. However, Google Cloud offers an extensive portfolio of industry-recognized certifications that can help you stand out as a tech professional in 2025 and beyond. Obtaining a Google Cloud certified credential is one of the most effective ways to validate your skills and accelerate your career.
With our expert-led training, you’ll be prepared to:
- Master in-demand capabilities across Cloud, Data & AI, and Cybersecurity — areas driving global digital transformation.
- Prove your expertise with a globally respected credential recognized by employers worldwide.
- Advance your career by enhancing your credibility, increasing your earning potential, and opening doors to new opportunities.
Explore our full range of Google Cloud certifications and start building the skills that matter today.
Training & Certification Guide
Frequently Asked Questions
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All courses are HRD Claimable.
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