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Google Cloud Training

This series of courses introduces data in the cloud and Looker to someone who would like to become a Looker Developer. It includes the background on how data is managed in the cloud and how it can be used to create value for an organization. You will then learn the skills you need as a Looker Developer to use the Looker Modeling Language (LookML) to empower your organization to conduct self-serve data exploration, analysis and visualization.

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What's inside

Three courses

Exploring Data Transformation with Google Cloud

(0 hours)
Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences. This course explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible.

Analyzing and Visualizing Data in Looker

In this course, you will learn how to explore and analyze data in Looker. You will be able to find and explore relevant content, ask questions of your data, create new metrics, and build and share visualizations and dashboards to facilitate data-driven decision making.

Developing Data Models with LookML

This course enables you to develop scalable, performant LookML models that provide your business users with the standardized, ready-to-use data that they need. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.

Learning objectives

  • Learn the skills needed to do data exploration and analysis in looker to empower others to solve business needs.
  • Use dimensions, measures, filters, table calculations and pivots to analyze and visualize data.
  • Create and share near real-time data visualizations using looks, dashboards, and boards.
  • Use the looker integrated development environment (ide) and project version control to modify lookml projects and curate explores that empower business users to leverage data in their everyday workflows

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