Creating Business Value With Data And Looker Specialization

Creating Business Value with Data and Looker Specialization | Coursera [Update 08/2024]
English | Size: 303 MB
Genre: eLearning

Build skills to leverage cloud data with Looker. Introduction to Data in the Cloud and Looker for a Looker Developer

What you’ll learn
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

Specialization – 3 course series
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.

Applied Learning Project

Course 2 includes hands-on labs with Looker to build skills in both data analysis and visualization. In the first lab, learners work with dimensions, measures, filters, and pivots to query, select, and visualize data in Looker using Explores. In the second lab, learners use table calculations and offsets to instantaneously create new metrics from data using Explores.

Course 3 includes hands-on labs focused on building LookML skills to curate data experiences for business users. In the first lab, learners practice creating dimensions and measures in LookML and learn about the different data types that LookML supports. In the second lab, learners create and persist derived tables in LookML to create new tables that do not yet exist in the underlying database.