Introduction to Looker

Overview

In this introductory course, you'll learn how Looker can help you explore, analyze, and visualize your data to drive better decisions. Through a combination of video lectures and demos, you'll discover how to connect to various data sources, build interactive dashboards, and perform effective data analysis. Whether you're a data analyst, BI analyst, data scientist or business user, this course will equip you with the foundational knowledge to start using Looker effectively, regardless of your background.

Syllabus

Introduction to Looker

This module introduces the core purpose and features of Looker, including navigation and basic security functionalities.

Understanding LookML and the semantic layer

Explain the importance of LookML and the semantic layer.

Governed BI and analytics

This module explores the importance of data governance in Looker and demonstrates how to interact with Explores and create user-defined dashboards.

Gemini in Looker

This module explores the capabilities of Gemini within Looker, focusing on its various AI-powered assistants for visualizations, LookML, formulas, and slide generation. It also covers conversational analytics and the role of BI agents in assisting users with analytics tasks and workflows.

Self-service dashboarding and reporting

This module explains the concept of self-service dashboarding and reporting, and how Studio in Looker facilitates this approach as an integrated feature within the Looker platform.

External analytics and embedding

This module explores how Looker can be used for external analytics and embedded into other applications and workflows.

Course summary

This module summarizes the essential concepts and skills covered throughout the course, reinforcing key takeaways and providing a comprehensive overview of Looker's capabilities.