In this 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.
About this Course
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
- 5 stars76.95%
- 4 stars18.75%
- 3 stars1.95%
- 2 stars0.78%
- 1 star1.56%
TOP REVIEWS FROM ANALYZING AND VISUALIZING DATA IN LOOKER
It was a good course but it seemed like the course for the labs was covered after the lab instead of before.
Good overview of Looker from the perspective of a business consumer and report builder (This course does not cover the administration or data modelling side of things in the background)
Very easy was completed in two days. I don't expect much else because the platform itself is very easy. Would love high level examples of analysis
It was helpful for beginner to understand the looker . If more exercises were there it would be great
About the Creating Business Value with Data and Looker Specialization
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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