
Practical Looker course for beginners that want to quickly get up to speed with Looker and LookML
InstructorGeorge Smarts






Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
This screenshot shows the Looker Development environment where users write LookML code to define data models, specifying connections, included views, and complex join relationships.
This Looker interface displays a waterfall chart visualization alongside a data table showing the most common female names and their corresponding total population figures.
This screenshot displays the Looker interface within a user's personal folder, illustrating how saved dashboards and data views are organized.
The curriculum moves from basic elements like fields and views into intermediate joins and advanced datagroups, covering essential Git branch management and production workflows.
Instruction is noted for its directness and clear pacing, making the transition from interface navigation to technical modeling accessible for new users.
One signal suggests a lack of end-to-end projects that connect external data sources like BigQuery to the Looker environment.
One signal suggests a lack of end-to-end projects that connect external data sources like BigQuery to the Looker environment; however, this review predates the displayed update and the update label does not prove a correction has been made.
The progression from environment setup to technical modeling aligns well with the stated beginner target audience.